The Secret Under My Skin Character Analysis - 1814 Words

Moments in a person’s life, or decisions made by one’s self and people around them can impact the course of their future. Like author and life coach Tony Robbins once quoted â€Å"It is in your moments of decision that your destiny is shaped.† (BrainyQuotes.com 1). Janet McNaughton ´s dystopian novel The Secret Under My Skin is an excellent portrayal of how moments in one’s life can lead them in their journey. The novel, shows how the protagonist of the novel, Blake Raintree, is changed drastically as she moves forward in her adolescent years. After having to endure an arduous childhood, Blake is indirectly given the opportunity to change her life, when she is chosen as a helper to the bioindicator. A bio-indicator is a respected career that†¦show more content†¦Everything has happened to me, not to Marella, but to me†.(165) Blake begins to understand that it is because of her knowledge that Marella has gotten this far. Her realization can be seen when she declares â€Å"I am the person Willam has been looking for† (170). Though she may have struggled to accept her talents, we can witness her acknowledgement to them when she states â€Å"Beneath the churning doubt and confusion on the surface of my life, I feel a liquid mantle of contentment. It no longer matters whether I wanted this or not.This whatever it is, has claimed me’’ (169). Blake has grown as a character from this experience because she has discovered that she is much more than she believed herself to be. Her self esteem is raised, and she finally begins to hope for a bright future. Thus, later in the story, when Blake acquires the chance to go to university, her actions can be traced back to this vital moment. Next, another valuable lesson that Blake gains from this decisive moment, is how to respect herself despite Marella ´s oppressive control over her. This shows just part of her long journey towards maturity. When she is chose n by Marella as a helper, she is overwhelmed with joy and is grateful for the opportunity to leave the horrendous workcamp. Blake states â€Å" I will do anything to help Marella. Maybe we will even become friends†.(29) Despite Marella ´s malignant actions towards her, Blake continue to serve her, oblivious to the fact that she isShow MoreRelatedEssay on Similes in The Big Sleep908 Words   |  4 Pagesdoesnt display this annoying literary device. Everything is like this or like that. It never ends! Similar to decoding a secret message that isnt difficult to understand, but nevertheless tiring due to the overwhelming amount of messages, the novel is frustrating to read. The following analysis acknowledges Chandlers creativity in developing his main character, Philip Marlowe, with his usage of simile. However, the excessive style of the novel creates a dominating force that ultimatelyRead MoreFictional Superhero Origin Story : Oliver Queen970 Words   |  4 PagesR ebecca dies when Tommy is seventeen years. Tommy is Oliver’s best friend. Oliver’s parents are not faithful to each other. Lance has fallen in love with one of his employees named Sara Smoak. After his wife’s death, Malcoln and Moira involve in a secret love affair. The relationship grows and Malcoln wants to kill Oliver’s father to marry Moira. Thea is in high school while Oliver is taking Bachelor of Commerce at a renowned college in Starling City. During the summer holidays, Oliver accompaniesRead MoreA Feminist and Post-Colonial Analysis of Anowa by Ama Ataa Aidoo1251 Words   |  6 Pages My favourite text is a play titled â€Å"Anowa† by Ama Ataa Aidoo which was published in year 1969. This book was first given to me by my father on my twelfth birthday. Although I was disappointed initially because I was expecting something â€Å"girly† on my birthday, I liked it when I read it because of the moral lessons it portrayed and the language used in the play. However, I got a deeper understanding of the test after I did a post-colonial and a feminist analysis on the text. In my post-colonial analysisRead MoreThe Awakening Critical Analysis1596 Words   |  7 Pages The Awakening by Kate Chopin Critical Analysis The novel, The Awakening by Kate Chopin, was written during the late 19th century, when the feminist movement was in its infancy. During that era, the novel was yet to be discovered and the few considered it as a disgrace. Many thought that it portrayed a negative example of how a women should think and behave. 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This isolation is demonstrated with the case of Tom Robinson being accused of rape due to his racial skin colour. This racial form of isolation is present within modern day society, within social values. You arent really a nigger-lover, then, are you?, I certainly am. I do my best to love everybody... Im hard put, sometimes—baby, its neverRead MoreOedipus the King: Oedipuss Submission to the Gods Essay1529 Words   |  7 Pagespollyanic view of society by presenting us with plays that were intended to teach. Sopho cless Oedipus the King issued a warning for those who foolishly believed that they could challenge the forces of nature. Sophocles was known for presenting characters that are fluid not static. So it should come as no surprise that the Oedipus the reader encounters at the outset of the play, an extraordinary leader, but one whos pride has lead him to challenge his fate, has changed by the end of the play. 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The Crucible By Arthur Miller - 1056 Words

Reverend Hale develops from a strong intelligent individual with no compassion, to kind sympathetic as the story matures for example when he is begging women in prison to confess to save their lives. A crucible is a severe test as of patients or belief, a trial. The play The Crucible is a journey through the trials of many townspeople caused by the superstitious belief of witchcraft. In The Crucible, Arthur Miller progresses and evolves the outlooks and views of the townspeople of Salem and shows how events, people, and catastrophes cause the characters to change their views on whether the people prosecuted were guilty or innocent of witchcraft. Reverend John Hale changes his view, more and more drastically as the play advances, as a†¦show more content†¦The conversations that Hale has demonstrate the evolution of his mindset. In Act II, Hale is traveling around the town, going house-to-house, searching for accused women to warn them that their names have been mentioned in the court. Soon, Hale finds himself standing at the Proctor home. At this moment, Hale sees a different perspective on the entire situation. â€Å"Proctor: I – I have no witness and cannot prove it, except my word be taken. But I know the children’s sickness had naught to do with witchcraft. Mr. Parris discovered them sportin’ in the woods. They were startled and took sick. Hale: Who told you this? Proctor: Abigail Williams.†(Page 68-69) Originally, Hale was only provided evidence that witchcraft was occurring in the town. Now that he has visited the Proctor’s home, he finds more support for his suspicion of the girls’ claims as he finds truth in the words of John Proctor. â€Å"Abigail Williams told you it had naught to do with witchcraft†¦ Why – why did you keep this? †¦Nonsense! Mister, I have myself examined Tituba, Sarah Good, and numerous others that have confessed to dealing with the Devil. Thy have confessed it†¦ And you – would you testify to this in court?†(Page 68-69) No longer believing that Abigail and her crew were correct, Hale finally opens his eyes to the new possibility that those who confessed did it for the sake of not being hung. Hale sees the honesty in Procter

Is There Another Earth Out There Essay Example For Students

Is There Another Earth Out There? Essay Is There Another Earth Out There?(adopted from an article by Guillermo Gonzalez, Donald Brownlee and Peter D. Ward, Refugees for Life in a Hostile Universe, Scientific American, October 2001) Is there life on other planets? Science has been trying to answer this question for a long time. In the article, the authors argue that it is highly improbable that complex life forms exist in our galaxy. To quote the authors: â€Å"Researchers are now casting a skeptical eye on musings about the prevalence of intelligent life throughout the Milky Way†. Furthermore, according to the article, not only may most of the solar system be unfriendly to multi-cellular or complex organisms, the same may be true of much of the galaxy. In fact, in recent years, astronomers have gained an appreciation of just how deadly our galaxy can be, filled as it is with exploding stars, radiation, and stellar close encounters. We will write a custom essay on Is There Another Earth Out There? specifically for you for only $16.38 $13.9/page Order now Creating a Hospitable PlanetHow does one determine the hospitality of a planet? Within a given planetary system, astronomers describe the optimal locations for life in terms of the cicumstellar habitable zone (CHZ). The CHZ is generally considered to be a region around a star where liquid water can persist on the surface of an Earth-like planet for at least a few billion years. In 1999, there was a proposed concept of a galactic equivalent to the CHZ: the galactic habitable zone (GHZ). The GHZ defines the most hospitable places in the Milky Way-those that are neither too close nor too far from the galactic center. The boundaries of the galactic habitable zone are set by two requirements: a). the availability of material to build a habitable planet and b). adequate seclusion from cosmic threats. a. In order for a planet to be created, sufficient building material must exist. Interestingly, metals are the building blocks of Earth-like planets. In fact, the abundance of metals affects t he size of the planets that can form. Size, in turn, determines whether a planet can retain an atmosphere and sustain geologic activity. The abundance of metals is measured by metallicy-the ratio of the number of metal atoms to the number of hydrogen atoms. Particularly, the lower the metallicy of a planet, the lower is the abundance of metals. In fact, without enough metals, large planets can not form at all. On the other hand, too high of a metallicity can also be a problem. High metallicity increases the density of the protoplanetary disk and therefore induces the giant planets to shift position. The result of such shift is that such planet will throw any smaller, Earth-like bodies out of the system all together or push them into the sun. b. Metallicy is not enough to determine hospitality of a planet. To contain life, a planet must also be kept reasonable safe from outside threats, such as the impact of asteroids and comets. Blasts of radiation also present a problem. Until a ce rtain point, a planet’s magnetic field can fend off most particle radiation and its ozone layer can screen out dangerous electromagnetic radiation. However, sufficiently energetic radiation can ionize the atmosphere and generate nitrogen oxides in amounts capable of wiping out the ozone layer. Energetic radiation hitting the atmosphere can also let loose a deadly rain of secondary particles. Effects on EarthIn many ways, the Milky Way is unusually hospitable: a disk galaxy with orderly orbits, comparatively little dangerous activity (comets and asteroids) and plenty of metals. Earth satisfies the requirement for optimal metallicity. The mix of land and sea on Earth is important for atmospheric temperature control and other processes. In our solar system, the frequency of asteroid impact depends on the details of Jupiter’s orbit and formation; the rest of the galaxy has no direct effect. As far as radiation is concerned, the nucleus of the Milky Way is currently relativ ely inactive. To quote the author: â€Å"If our ideas about the GHZ are correct, we live within an especially comfortable region of the Milky Way. Any civilization seeking a new world would, no doubt, place our solar system on their home-shopping list†. .u6ec6c25cefe18b362ab35a85501caf39 , .u6ec6c25cefe18b362ab35a85501caf39 .postImageUrl , .u6ec6c25cefe18b362ab35a85501caf39 .centered-text-area { min-height: 80px; position: relative; } .u6ec6c25cefe18b362ab35a85501caf39 , .u6ec6c25cefe18b362ab35a85501caf39:hover , .u6ec6c25cefe18b362ab35a85501caf39:visited , .u6ec6c25cefe18b362ab35a85501caf39:active { border:0!important; } .u6ec6c25cefe18b362ab35a85501caf39 .clearfix:after { content: ""; display: table; clear: both; } .u6ec6c25cefe18b362ab35a85501caf39 { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .u6ec6c25cefe18b362ab35a85501caf39:active , .u6ec6c25cefe18b362ab35a85501caf39:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .u6ec6c25cefe18b362ab35a85501caf39 .centered-text-area { width: 100%; position: relative ; } .u6ec6c25cefe18b362ab35a85501caf39 .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .u6ec6c25cefe18b362ab35a85501caf39 .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .u6ec6c25cefe18b362ab35a85501caf39 .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .u6ec6c25cefe18b362ab35a85501caf39:hover .ctaButton { background-color: #34495E!important; } .u6ec6c25cefe18b362ab35a85501caf39 .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .u6ec6c25cefe18b362ab35a85501caf39 .u6ec6c25cefe18b362ab35a85501caf39-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .u6ec6c25cefe18b362ab35a85501caf39:after { content: ""; display: block; clear: both; } READ: Hiv & Multiple Bereavement Syndrome EssayThe Possibility of Life on Other PlanetsGiven the above factors, can one determine if there is life on other planets? According to the article, such can be determined. The outlook on the possibility of extra-terrestrial life, however, is weak. Various reasons exist for author’s opinion. The authors argue that only part of the Milky Way satisfies the requirement of optimal metallicity. Taking into account the disk metallicity, rough limits can be placed on the GHZ both in space and in time. In fact, few planets in our galaxy satisfy the requirement for optimal metallicity. The broad universe looks even less inviting than our g alaxy. About 80 percent of stars in the local universe reside in galaxies that are less luminous than Milky Way. Because the average metallicity of a galaxy correlates with its luminosity, entire galaxies could be deficient in Earth-size planets. As far as cosmic threats are concerned, the cometary threat is very sensitive to the galactic environment. The frequency of comet perturbation depends on the position in the Milky Way. As one goes toward the galactic center, the density of starts increases, so there are more close encounters. Comets are thought to reside in two long-term reservoirs: the Kuiper belts and the Oort cloud. Other stars probably have similar retinues. All this suggests that complex life form is rare in the galaxy. The inner regions of our galaxy suffer from orbital instabilities, radiation bursts, and cometary perturbations. The outer regions are safer, but because of the lower metallicity, terrestrial planets are typically smaller there. Another effect concerns the dynamics of stars in a galaxy. Stars in elliptical galaxies have randomized orbits and are therefore more likely to frequent their more dangerous central positions. Thus, as this paper has described, life on other planets is highly improbable. The authors attempted to explain why, in their opinion, it is difficult for complex life forms to exist in the universe. So for now, extra-terrestrials will remain in science-fiction stories. Interstellar travelers in books will continue to visit exotic locales in the Milky Way and meet with interesting aliens. As far as reality is concerned, however, the question of extra-terrestrial life still remains unanswered. Astronomy Essays

Multiple Regression and Correlation Analysis Project

Introduction In the paper, a regression model will be developed to give a linear relationship between gross domestic product (GDP) and foreign direct investment, budget deficit, and money supply for Qatar. Further, correlation matrix will be developed for the variables.Advertising We will write a custom research paper sample on Multiple Regression and Correlation Analysis Project specifically for you for only $16.05 $11/page Learn More Finally, a comprehensive analysis will be carried out on the regression model developed. The data used in the analysis will be collected from The World Bank, International Monetary Fund and Trading Economics (The World Bank 1; International Monetary Fund 1; Trading Economics 1). Correlation matrix Correlation coefficient measures the degree of association between two variables. The correlation matrix for the variables is presented in appendix 2. Based on the results of correlation analysis, it can be observed that there is a weak positive relationship between gross domestic product (GDP) and foreign direct investment (FDI). The value of the correlation coefficient between the two variables is 0.4611. Secondly, the correlation coefficient between GDP and the budget deficit is 0.9487. It indicates a strong positive relationship between the two variables. Further, the correlation coefficient between GDP and money supply (M3) is 0.9933. It shows a very strong positive relationship between the two variables. Also, the correlation coefficient between GDP and the consumer price index is 0.9280. It shows a strong positive relationship between the variables. Thus, it can be observed that there is a strong positive relationship between the explained variable and the explanatory variables (Verbeek 28). Multicollinearity Multicollinearity is a scenario where there is a strong association between the explanatory variables. Thus, the correlation coefficient between the independent variables is quite high. The exis tence of multicollinearity between the independent variables affects the results of regression. Based on the results of correlation, it can be observed that there is a strong positive correlation coefficient between money supply and budget deficit. The value of the coefficient is 0.9446. Also, there is a slightly high positive correlation between money supply and FDI, that is, 0.4910.Advertising Looking for research paper on business economics? Let's see if we can help you! Get your first paper with 15% OFF Learn More Therefore, money supply will be dropped in the formulation of the regression model. This will improve the results of the regression equation (Verbeek 28). Multiple regression analysis The multiple regression model is used when more than one explanatory variable is used when coming up with the regression equation. From the correlation analysis, the explained variable is GDP (Y) while the explanatory variables are FDI (X1) and the budget deficit (X2). The regression line will take the form when the ordinary least squares method is used. The simplified regression equation is Y = b0 + b1X1 + b2X2. Further, it is necessary to specify the theoretical expectation. It is expected that bo will take any value while b1 and b2 will be positive (b1 and b2 0). Regression equation The results of the regression analysis are presented in appendix 1. From the table, the value of bo is 12,296,921,623, b1 is 7.1175, and b2 is 0.41198. The least squares regression equation is shown below. Y = 12,296,921,623 + 7.1175X1 + 0.41198X2 Interpretation of the coefficient The coefficient of b1, 7.1175, shows that if the value of FDI increases by one unit, then the value of GDP will increase by 7.1175. This shows that a unit increase in the value of FDI will result in a more than proportionate increase in GDP.Advertising We will write a custom research paper sample on Multiple Regression and Correlation Analysis Project specifically for you for only $16.05 $11/page Learn More The value of second coefficient b2 is 0.41198. It shows that an increase in the value of budget deficit by one unit results in an increase in the value of GDP by 0.41198 of a unit. The positive coefficients are in agreement with the theoretical expectations. This shows that a unit increase in the value of budget deficit will result in a less than proportionate change in GDP (Verbeek 28). Confidence interval for each slope The confidence interval is calculated based on the values of the sample collected from a given population. It gives the range within which the population parameter is expected to lie. Further, the population parameter is not known. Therefore, confidence interval does not give the exact value of the population parameter. The intervals will be calculated at 95% confidence level. The confidence interval is calculated using the formula shown below. Sample statistic + Z value * standard error / √n b1 = 7.1175  ± 1.96 * 0.9630547 / √25 = 7.1175  ± 0.377517442 = 6.739959703 ≠¤ b1 ≠¤ 7.494994588Advertising Looking for research paper on business economics? Let's see if we can help you! Get your first paper with 15% OFF Learn More The confidence interval indicates that the slope of FDI for the entire population will lie between 6.7399 and 7.4949. b2 = 0.41198  ± 1.96 * 0.017080311 / √25 = 0.41198  ± 0.006695 = 0.405289 ≠¤ b2 ≠¤ 0.41868 The confidence interval indicates that the slope of budget deficit for the entire population will lie between 0.405289 and 0.41868. Standard error Standard error is similar to the standard deviation though it applies in the case of a sample. It measures the accuracy with which the sample statistic represents the population parameter. A small value of the standard error is desirable because it indicates that the sample statistic is close to the population parameter. The standard error of the regression model is 9,620,452,837. The value is quite high and it shows that the results generated by the sample regression model will deviate significantly from the population model. Further, the standard error of the coefficient of FDI is 0.9630547 while the error of the coefficient of the budget deficit is 0.0170803. The values of standard error are low. This shows that the coefficients of the explanatory variables are estimated with a lot of precision. Further, the values of the coefficient are larger than the standard error. It indicates that the value is different from zero. ANOVA ANOVA analyzes the difference between means. First, ANOVA estimates the mean of each sample separately. This gives the sample mean. Secondly, it estimates the mean of all the samples put together. This gives the overall mean. Further, it estimates the deviation of each observation in each sample from the corresponding sample mean. This gives the variation within the samples (explained variance). The next step entails estimating the deviation of the sample mean from the overall mean. This gives the variation between samples (unexplained variance). The final step is the division of variation between the samples by variation within the samples. This gives the F-statistic . The significance F is estimated from the F ratio and the degrees of freedom of the numerator and the denominator. The significance F indicates whether all the samples are drawn from the population (Verbeek 28). Prediction Point prediction FDI – Highest value = 8124736264 Budget deficit – Highest value = 4.34105E+11 The point prediction is 2.48969E+11. It gives the predicted value of GDP at the maximum points. Confidence interval b1 = 8124736264  ± 1.96 * 417221610.5 / √25 = 8124736264  ± 163550871.3 = 7961185393 ≠¤ b1 ≠¤ 8288287135 b2 = 4.34105E+11  ± 1.96 * 23524584830 / √25 = 4.34105E+11  ± 9221637253 = 4.24883E+11 ≠¤ b2 ≠¤ 4.43327E+11 The confidence interval gives the range within which the population parameter will lie. Prediction interval b1 = 8124736264  ± 1.96 * 417221610.5 / √1 + 1/25 = 8124736264  ± 163550871.3 = 7290787182 ≠¤ b1 ≠¤ 8958685346 b2 = 4.34105E+11  ± 1.96 * 23524584830 / √1 + 1/25 = 4.34105E+11  ± 9221637253 = 3.87E+11 ≠¤ b2 ≠¤ 4.81E+11 Prediction interval covers a wider scope than confidence interval. It gives the range within which the future value will lie. Validity of the regression Hypothesis Null hypothesis H0: ÃŽ ²0 = ÃŽ ²1 =, = ÃŽ ²p Alternative hypothesis H1: ÃŽ ²j ≠  0, for at least one value of j The null hypothesis implies that the overall regression line is not significant. The alternative hypothesis implies that overall regression line is significant. Tests statistics The overall significance of the regression model will be analyzed using a two tailed F-test. The test will be carried out at 5% significance level. Rejection rule The null hypothesis will be rejected if the value of F-calculated is greater than the value of F-tabulated. Decision The ANOVA table is presented in appendix 3. The F-calculated is 372.4311 while the value of F-tabulated is 3.4434. Therefore, the null hypothesis will be rejected at the 5% lev el of significance. This implies that the overall regression is significant at the 5 % level of significance. The value of R-square is 97.13% while the value of the adjusted R-square is 96.87%. The value of R-square indicates the explanatory variables explain 97.13% of the variations in the explained variable. It is an indication of a strong regression model. Test of significance Hypothesis Null hypothesis: Ho: bi = 0 (variables are not significant determinants) Alternative hypothesis: Ho: bi ≠  0 (variables are significant determinant) The null hypothesis implies that the variables are not significant determinants of demand. The alternative hypothesis implies that variables are significant determinant of demand. Tests statistics The test of significance of each explanatory variable will be carried out using t-test. A two tailed t-test is carried out at 95% level of confidence. Rejection rule The null hypothesis will be rejected if the value of t-calculated is greater tha n the value of t-tabulated. Decision The value of the t-statistic for the b1 is 7.3905 while for b2 is 24.1204. The value of t-tabulated is 1.9432 at 5% significance level. Since the value of the t-statistic is greater than the value of t-tabulated, the null hypothesis will be rejected and conclude that FDI and the budget deficit are significant determinants of GDP at 5% level of significance. Assumptions and testing The first assumption of a multiple regression model is that the sample data of the variables are normally distributed. Secondly, the model assumes that there exists a linear relationship between the explained variable and the explanatory variables. Third, the variables used in the analysis are estimated without an error. Finally, the model assumes that the variance of the error term is constant (Vinod 78). Conclusion The paper developed a regression model for the relationship between GDP (as the explained variable) and FDI and the budget deficit (as the explanatory va riables). The discussion above indicates that FDI and the budget deficit are valid and significant determinants of GDP. Besides, the variables explain a significant proportion of the variations of the dependent variable. Also, the overall regression line is significant. The regression line can be improved by adding other significant variables and increasing the sample size. Works Cited International Monetary Fund 2013, Data and Statistics. Web. https://www.imf.org/external/pubs/ft/weo/2012/02/weodata/weorept.aspx?pr.x=41pr.y=6sy=1980ey=2017scsm=1ssd=1sort=countryds=.br=1c=453s=NGDP_R%2CNGDP%2CNGDPD%2CNGDP_D%2CPCPI%2CGGR%2CGGR_NGDP%2CGGX%2CGGX_NGDPgrp=0a=. The World Bank 2013, World Economic Indicators. Web. https://databank.worldbank.org/data/reports.aspx?source=world-development-indicators#c_q. Trading Economics 2013, Qatar Economic Indicators. Web. https://tradingeconomics.com/qatar/indicators. Verbeek, Marno. A Guide to Modern Econometrics, England: John Wiley Sons, 2008. Print. Vinod, Hrishikesh. Hands on Intermediate Econometrics Using R: Templates for Extending Dozens of Practical Examples. New Jersey: World Scientific Publishers, 2008. Print. Appendices Appendix 1.  Regression output Summary Output Regression Statistics Multiple R 0.98555145 R Square 0.97131167 Adjusted R Square 0.96870364 Standard Error 9620452837 Observations 25 Coefficients Standard Error t Stat P-value Intercept 1.2297E+10 2365727509 5.19795 3.267E-05 X Variable 1 7.11747715 0.9630547 7.39052 2.144E-07 X Variable 2 0.41198431 0.017080311 24.1204 2.571E-17 Appendix 2.  Correlation matrix Gross domestic product Foreign direct investment Budget deficit Money supply (M3) Consumer price index Gross domestic product 1 Foreign direct investment 0.461132 1 Budget deficit 0.948729 0.211088 1 Money supply (M3) 0.99335 0.491049 0.944616 1 Consumer price index 0.928099 0.699044 0.778696 0.920747 1 Appe ndix 3.  Summary of ANOVA ANOVA df SS MS F Significance F Regression 2 6.89393E+22 3.45E+22 372.4311648 1.08332E-17 Residual 22 2.03617E+21 9.26E+19 Total 24 7.09755E+22 This research paper on Multiple Regression and Correlation Analysis Project was written and submitted by user Kason W. to help you with your own studies. 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Pablo Picasso Changed The Way We Look At Art Essays - Pablo Picasso

Pablo Picasso Changed The Way We Look At Art Muldoon 1 Picasso Changed the Way We Look at Art There is no abstract art. You must always start with something. Afterwards you can remove all traces of reality. -Pablo Picasso Picasso had not always been so enlightened with the fact that there was more to art than the eye could see. During the course of his ninety-one year life, Picasso encountered many ideas and people that helped form the wonderfully talented and brilliant artist in history. Picasso was born Pablo Ruiz on October 25th 1881, in Malaga, Spain. His father was a inspiring artist while his mother took care of the house. Picasso had shown a great artistic talent in his early childhood years. At 14 years old, Picasso adopted his mother's less common name. Changing Ruiz to Picasso. Shortly after this event, Picasso had finished his one month qualification exam into the Acadamy of the Arts in Barcelona. The only exceptional thing about this was that Picasso had done this in one day. Picasso stayed with the acadamy for three years, before deciding to move to San Fernando where he would then attend the Acadamy of San Fernando until the turn of the century. Picasso then joined up with the group of aspiring artists. Pablo Picasso was probably the most famous artist of the twentieth century. During his artistic career, which lasted more than 75 years, he created thousands of works, not only paintings but also sculptures, prints, and ceramics, using all kinds of materials. He almost single-handedly created modern art. He changed art more profoundly than any other artist of this century. First famous for his pioneering role in Cubism, Picasso continued to develop his art with a pace and vitality comparable to the accelerated technological and cultural changes of the twentieth century. Each change embodied a radical new idea, and it might be said that Picasso lived several artistic lifetimes. Picasso was born on October 25, 1881, in Malaga, Spain, son of an artist, Jose Ruiz, and Maria Picasso. Rather than adopt the common name Ruiz, the young Picasso took the rarer name of his mother. An artistic prodigy, Picasso, at the age of 14, completed the one-month qualifying examination of the Academy of Fine Arts in Barcelona in one day. From there he went to the Academy of San Fernando in Madrid, returning in 1900 to Barcelona, where he frequented the city's famous cabaret of intellectuals and artists, Els Quatre Gats. The years of 1901 to 1904, known as the blue period because of the blue tonality of Picasso's paintings were a time of frequent changes of residence between Barcelona and Paris. During this period, he would spend his days in Paris studying the masterworks at the Louvre and his nights enjoying the company of fellow artists at cabarets like the Lapin Agile. 1905 and 1906 marked a radical change in color and mood for Picasso. He became fascinated with the acrobats, clowns and wandering families of the circus world. He started to paint in subtle pinks and grays, often highlighted with brighter tones. This was known as his rose period. In 1907, Picasso painted Les Demoiselles d'Avignon, considered the watershed picture of the twentieth century, and met Georges Braque, the other leading figure of the Cubist movement. Cubism was equally the creation of Picasso and Braque and from 1911 to 1913, the two men were in frequent contact. In 1917, Picasso did the set and costume design for Serge Diaghilev's ballet Parade. For Picasso the 1920's were years of rich artistic exploration and great productivity. Picasso continued to design theater sets and painted in Cubist, Classical and Surreal modes. From 1929 to 1931, he pioneered wrought iron sculpture with his old friend Julio Gonzalez. In the early 1930's, Picasso did a large quantity of graphic illustrations. In late April of 1937, the world learned the shocking news of the saturation bombing of the civilian target of Guernica, Spain by the Nazi Luftwaffe. Picasso responded with his great anti-war painting, Guernica. During World War II, Picasso lived in Paris, where he turned his energy to the art of ceramics. From 1947 to 1950, he pursued new methods of lithography. The l950's saw the beginning

The Eastern Red Cedar and Other Popular Christmas Trees

The Eastern Red Cedar and Other Popular Christmas Trees Americans buy about 20 million real Christmas trees  each holiday season, most at retail lots and Christmas tree farms. Depending on where you live, the kind of evergreen youll find will vary. In fact, there are dozens of evergreens native to the U.S. Cant decide which one you like best? The trees below are some of the most popular Christmas varieties. Fraser Fir The  Fraser fir  is perhaps the most popular variety of Christmas tree because it is hardy enough to survive being cut and shipped across long distances. The Fraser is a native southern fir and grows at elevations above 5,000 feet. The tree has excellent needle retention along with a pleasing piney scent. The Fraser fir was named for Scottish botanist John Fraser, who explored the southern Appalachians in the late 1700s. Douglas Fir The  Douglas fir  is another common variety of Christmas tree found throughout the central and northern U.S. It is not a true fir and has its own unique species classification. Unlike those of true firs, the cones of the Douglas fir hang downward. They have a sweet scent when crushed. The tree was named after David Douglas, who studied the tree in the 1800s. Balsam Fir The Balsam fir is a beautiful pyramidal tree with short, flat, long-lasting aromatic needles. The Balsam fir and the Fraser fir have many similar characteristics and some botanists consider them extensions of the same species. However, balsams prefer cool climates and are native to the northeastern U.S. and Canada. They have a nice, dark green color and are very fragrant. The Balsam fir was named for the balsam or resin found in blisters on its bark, which was used to treat wounds during the Civil War. Colorado Blue Spruce The  Colorado blue spruce  is most familiar to people as an ornamental landscape tree. It has dark green to powdery blue needles and a pyramidal form when young. The Colorado blue spruce is very often sold as a living Christmas tree,  which includes an entire root ball and can be planted after the holidays. Its also popular because it rarely sheds its needles indoors. The spruce was chosen in 1978 and planted as the official living White House Christmas tree and is the state tree of both Utah and Colorado. Scotch Pine The  Scotch pine  is one of the most popular Christmas tree species because it rarely sheds its needles and has excellent water retention when cut. The Scotch pine is not native to America; its origins are European. It was first used in reforestation efforts in the New World. The Scotch pine tree has stiff branches and dark green needles that are retained for four weeks. Its aroma is long-lasting and lingers through the entire holiday season. Eastern Red Cedar The  Eastern red cedar  is a popular Christmas tree in the southern U.S., where it is a native species. This evergreen isnt a true cedar; its a member of the juniper family. Unlike some species that must be pruned regularly to maintain the traditional cone shape, the Eastern red cedar comes by its pyramidal crown naturally. The trees ease of maintenance makes it a favorite at cut-your-own tree farms. Its needles are a dark, shiny green color and sharp and prickly to the touch. White Spruce The white spruce is native to the northeastern U.S. and Canada, and one of the most common varieties sold as Christmas trees in that region. Like the Eastern red cedar, the white spruce has a natural conical shape that makes it easy for tree farmers to maintain. Its a common  choice for cut-your-own farms. However, some people dont like white spruce trees because they tend to shed their needles, which have an unpleasant odor. On the plus side, the trees thick branches make it ideal for heavy ornaments. Eastern White Pine The  Eastern white pine  has been valued as a timber tree for centuries, and it is commonly sold in the mid-Atlantic states as a Christmas tree. Because this variety of evergreen has very little scent, it is popular with people who suffer from tree-related allergies. Eastern white pines have excellent needle retention and stout branches to support heavy decorations. White or Concolor Fir The White fir, sometimes called the concolor fir, is known for its long, blue-green needles, excellent needle retention, and pleasing pine scent. Its commonly sold as a Christmas tree in California, where it is a native species. Virginia Pine The Virginia pine is a newcomer to many Christmas tree lots, particularly in the South. This variety was developed as a heat-tolerant alternative to the Scotch pine and has only recently been used as a Christmas tree. The Virginia pine has wide tufts of soft needles ranging from dark green to gray in color. Its limbs are stout with woody branches.

Todays Intricacy and Complexities Research Paper

Todays Intricacy and Complexities - Research Paper Example The process is however complicated as it requires utilization of personal skills and individual values to facilitate the creation of an effective frame of reference essential in productive action. The essay below therefore seeks to use multiple step method developed by Keeley and Browne to examine the argument suggested by the director of operations in Cliffside Holdings Company of Massapequa. What Are The Issue And The Conclusion? In the case of Cliffside Holding Company of Massapequa, the focus is on establishment and funding leadership programs for junior executive staff in the company. The need to prepare junior financial executives for future development of the company was proposed during the senior executive staff meeting, which took place on August 1, 2012. It was suggested by the director of operation. The suggestion targeted 20 employees, who were to attend a three-week seminar per year offered by Aspen Leadership Institute of Colorado. While concluding, Mr. Anil Ravaswami a sserted that it is not feasible for CHCM to sponsor its junior financial executives to the annual leadership training. ...future of CHCM at heart but only wants to disgrace him and advocate for adoption of theories of Aspen Institute, which he thinks are not appropriate for the culture of CHCM. What Are The Reasons? From the presentation of the subject and conclusions, the reason why the vice president of Human resources of CHCM, Mr. Anil Ravaswami declined to adopt the proposal of Ms. Forsythe on leadership training is their competition for corporate post. Mr. Anil Ravaswami argues that their twelve senior executive have never attended any leadership programs, but they have been delivering their duties as expected (Browne & Keeley, 2007). He believes that leadership is not learned but an innate trait by quoting people like Winston Churchill, Mother Theresa and Martin Luther King, Jr. Therefore, Mr. Anil Ravaswami reiterates that leadership development trainings are of less signific ance in Cliffside Holding Company of Massapequa. Which Words Or Phrases Are Ambiguous? Mr. Anil Ravaswami, in the Memo alluded to the sayings of some experts to rationalize his allegation that leadership is an inborn trait that cannot be copied or learned through trainings. He quotes one economist Dr. Irwin Corey, who said â€Å"born into this world accompanied by a rich, psychical disposition, which furnishes him ready-made all his motivations of conduct†¦He can show a demand for nothing that is not prompted by this galaxy of instincts.† The economist quote is related to Mr. Anil Ravaswami’s thought.