Cox Regression Models Questions with Answers Worked Example An investigation is carried out into popularity of new cars being bought in the showroom of a Mercedes dealer. Data recorded for each car included colour‚ engine size and car type. A Cox proportional hazards model was fitted to the data and the results are given below: Write down the Cox hazard function according to this model. With regards to the model you have written down above state the following: • To which class of car does the
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1. Qeach brand t=β0+β1*PMinute Maid t+β2*PTropicana t+β3*PPrivate label t+ueach brand t Q: quantity P: price By running the above regression model for each brand‚ we got the following elasticity matrix and the figures for “V” and “C.” Note that we used the average price and quantity for P and Q to calculate each brand’s elasticity. Price Elasticity | Tropicana | Minute Maid | Private Label | Tropicana | -3.4620441 | 0.40596537 | 0.392997566 | Minute Maid | 1.8023329 | -4.26820251 | 0.765331803
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Regression Analysis of Army Jackboots Ochirmunkh Boldbaatar‚ Myriam Hirscher‚ Bastian Latz‚ and Manuel Padutsch ECON 510 Aun Hassan November 26‚ 2012 Introduction The German company we established the data from sells cloths and shoes. The customers are not private customers but mostly national divisions like the military or fire departments. The company has around 20 stores in Germany; however‚ the stores have different prices for the same products. The data package we received includes
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5645 | 3.17 | 32.11 | 2010 | 4284 | 3.28 | 31.23 | 2011 | 3674 | 2.65 | 24.16 | Using regression analysis we want to determine the relationship between ROA‚ ROE and stock price of PT BCA Tbk. In this case‚ ROA and ROE are the independent or explanatory variable (X)‚ while stock price is the dependent variable that we want to explain (Y). Regression Analysis SUMMARY OUTPUT | | | Regression Statistics | Multiple R | 0.13028475 | R Square | 0.016974116 | Adjusted R Square | -0
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Managerial Analysis April 11th‚ 2012 Project 3 We are given a linear regression that gives us an equation on the relationship of Quantity on Total Cost. As stated in the project‚ the regression data is very good with a relatively high R2‚ significant F‚ and t-values but we can’t use this model to estimate plant size. When we perform a simple eye test on the residual plot for Q a trend seems to form from positive to negative and back to positive. When we also fit a linear trend line to
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95-791 Spring 2013 Lecture #8 Predictive analytics: Regression Artur Dubrawski awd@cs.cmu.edu This unit • Good-old correlation scores revisited • Locally weighted regression – As an approximator of non-linear functions – As a framework for active/purposive acquisition of data 95-791 Data Mining Lecture #8 Slide 2 Copyright © 2000-2013 Artur Dubrawski Correlational scores of association between attributes of data • • • • Linear Rank Quadratic …. Would not it be great to have an
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Travis Foglesong Dr. Carter English 111-F23 February 19‚ 2013 The American Regression In Cal Thomas ’ article‚ “Is the American Dream Over?” he expresses a strong‚ anti-liberal opinion that explains why “the American dream” is lost. The article points out that the American society has become too dependent on a dysfunctional government while the key to a successful life in America used to lie in individual initiative. Certain traits‚ that had lead past generations to success‚ have been lost
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Progressive Regression: A brief analysis of the post-Soviet democratization process of Azerbaijan The demise of the Soviet Union of December of 1991 did not only bring an end of the Cold War; it brought over two-hundred and ninety-three million souls spanning over eleven time zones out of the shadows that lurked behind an Iron Curtain. This unprecedented event in modern history gave birth to an era of transition for the fifteen republics that would emerge‚ providing the world with one of the most
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relationship between CREDIT BALANCE and SIZE 2591+ 403.221 Determine the coefficient of correlation. Interpret. .75/ r-sq(56.6%). There is a mild correlation. Determine the coefficient of determination. Interpret. 56.6% Test the utility of this regression model (use a two tail test with α =.05). Interpret your results‚ including the p-value. P-value=0. Reject the null hpothesis. T value 7.9147 Based on your findings in 1-5‚ what is your opinion about using SIZE to predict CREDIT BALANCE? Size
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D | 70 | 29 | E | 22 | 6 | F | 27 | 15 | G | 28 | 17 | H | 47 | 20 | I | 14 | 12 | J | 68 | 29 | | | | | | | a) draw a scatter diagram of number of sales calls and number of units sold b) Estimate a simple linear regression model to explain the relationship between number of sales calls and number of units sold y=2.139x-1.760 Number of units sold=2.139Number of units sold-1.760 c) Calculate and interpret the coefficient of correlation r=0.853=0.9236 (There
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