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Regression Modeling

by: Kamren McLaughlin

Regression Modeling STAT 320

Kamren McLaughlin
GPA 3.94


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This 2 page Class Notes was uploaded by Kamren McLaughlin on Monday October 26, 2015. The Class Notes belongs to STAT 320 at University of Tennessee - Knoxville taught by Staff in Fall. Since its upload, it has received 8 views. For similar materials see /class/229897/stat-320-university-of-tennessee-knoxville in Statistics at University of Tennessee - Knoxville.


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Date Created: 10/26/15
STAT 320 Halima Bensmail Case study Data used here are called COMP A rm CEO leads by developing and implementing a strategic policy for the rm CEO salaries in the united states are of interest because of their relationship to salaries in international rms and to salaries of people that do not belong to Corporate America The data for this study were drawn in 1992 The goal of this report is to study CEO and rm characteristics to determine the important factors in uencing CEO compensation 99 observation were selected from 800 companies representing the largest publicly traded companies in the United States Firm characteristics studied in this report include 1 Sum of the salary bonus and other compensation COlP 2 Sales revenues measure of size and pro tability ofthe rm SALES 3 Educational level GRAD 4 Percentage of the company s market value owned by the CEO PCTOWN 5 The market value of the CEOs stock in natural log VAL 6 Number of years as the rm CEO EXPER 7 Number ofyears employed by the rm TENURE 8 Pro ts of the rm before taxes PROF 0 Plot the histogram of the variable COlP o What do you observe Is it symmetric o How do you act here 0 We may think that that more pro table rms may have more generous compensation packages as rewards for strong performance because of the greater responsabilities that the CEOs must assume Can we verify this assumption 0 Use Stepwise regression to af rm that a best model to recommend for this data analysis is the following logCOMP o l logSALES zEXPER 3GRAD 4PERCENT5 e where PERCENTS is an indicator variable which indicates whether the CEO does owns more than 5 of the rm s stock PERCENT5 o What does a negative sign associated with PERCENTS mean o What does a negative sign associated with GRAD mean 0 What does a positive sign associated with logSALES mean 0 What does a positive sign associated with EXPER mean 0 Estimate the compensation for the following executive who was a CEO of Ameritech and who who earned 227 million in total compensation had 8 years of experiences as CEO who has a bachelor who owned approximately 005 of the Ameritech stock which had pro ts of 1166 millions on sales of 10818 millions What percentage does the model explain of the variation in compensation What kind of output explain the remaining variability in compensation Is it lower or larger than the original variability in compensation Is each explanatory variable important why Is there any collinearity within the variables How many unsual observations we have which one is a leverage point and which one is an outlier Does the model improve when removing those observations Check if there is a heteroscedasticity problem


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