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The Core grade point is the eventual dependent variable in a regression analysis. Look at the correlations between all variables. Is multicollinearity likely to be a problem? Why or why not?

The Core grade point is the eventual dependent variable in a regression analysis. Look at the correlations between all variables. Is multicollinearity likely to be a problem? Why or why not?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The Core grade point is the eventual dependent variable in a regression analysis. Look at the correlations between all variables. Is multicollinearity likely to be a problem? Why or why not?

A D E F H K L M N Updating: Static Variable: Core 6 7 8 Multiple Regression for Core Multiple Adjusted Std. Err. of Rows R-Square Outliers 9 Summary R R-square Estimate Ignored 10 11 0.6114 0.3738 0.3476 0.461129728 12 Degrees of Sum of Mean of p-Value 13 ANOVA Table Freedom Squares Squares 14 Explained 10 30.33330635 3.033330635 14.26505695 < 0.0001 15 Unexplained 239 50.82110955 0.212640626 16 17 Standard Confidence Interval 95% Coefficient t-Value p-Value Error 18 Regression Table Lower Upper 19 Constant -0.583025976 0.300012688 -1.943337731 0.0531 -1.174032792 0.00798084 20 A201 0.124402851 0.052925071 2.350546727 0.0196 0.020143669 0.228662034 21 A202 0.13511894 0.051752908 2.610847287 0.0096 0.033168847 0.237069033 22 E201 0.096060229 0.051409462 1.868532088 0.0629 -0.005213296 0.197333753 23 E202 0.002535941 0.048802715 0.051963105 0.9586 -0.09360245 0.098674332 24 E270 0.204375044 0.052640529 3.882465604 0.0001 0.100676391 0.308073697 25 K201 0.11956978 0.055476683 2.15531596 0.0321 0.010284076 0.228855484 26 L201 0.122039052 0.048209266 2.531443893 0.0120 0.027069719 0.217008385 27 M118 0.00045447 0.044811392 0.010141832 0.9919 -0.087821257 0.088730196 28 M119 0.135365547 0.043238529 3.130669599 0.0020 0.050188266 0.220542829 29 w131 0.043647511 0.051675834 0.844640657 0.3992 -0.058150752 0.145445773 30
Transcribed Image Text:A D E F H K L M N Updating: Static Variable: Core 6 7 8 Multiple Regression for Core Multiple Adjusted Std. Err. of Rows R-Square Outliers 9 Summary R R-square Estimate Ignored 10 11 0.6114 0.3738 0.3476 0.461129728 12 Degrees of Sum of Mean of p-Value 13 ANOVA Table Freedom Squares Squares 14 Explained 10 30.33330635 3.033330635 14.26505695 < 0.0001 15 Unexplained 239 50.82110955 0.212640626 16 17 Standard Confidence Interval 95% Coefficient t-Value p-Value Error 18 Regression Table Lower Upper 19 Constant -0.583025976 0.300012688 -1.943337731 0.0531 -1.174032792 0.00798084 20 A201 0.124402851 0.052925071 2.350546727 0.0196 0.020143669 0.228662034 21 A202 0.13511894 0.051752908 2.610847287 0.0096 0.033168847 0.237069033 22 E201 0.096060229 0.051409462 1.868532088 0.0629 -0.005213296 0.197333753 23 E202 0.002535941 0.048802715 0.051963105 0.9586 -0.09360245 0.098674332 24 E270 0.204375044 0.052640529 3.882465604 0.0001 0.100676391 0.308073697 25 K201 0.11956978 0.055476683 2.15531596 0.0321 0.010284076 0.228855484 26 L201 0.122039052 0.048209266 2.531443893 0.0120 0.027069719 0.217008385 27 M118 0.00045447 0.044811392 0.010141832 0.9919 -0.087821257 0.088730196 28 M119 0.135365547 0.043238529 3.130669599 0.0020 0.050188266 0.220542829 29 w131 0.043647511 0.051675834 0.844640657 0.3992 -0.058150752 0.145445773 30
A business school committee was charged with studying admissions criteria to the school. Until that time, only juniors were admitted. Part of the committee's task was to see whether freshman courses would be equally good predictors of success as freshman and sophomore courses combined. Here, we take “success" to mean doing well in I-core (the integrated core, a combination of the junior level finance, marketing, and operations courses, F301, M301, and P301). The file Business School contains data on 250 students who had just completed I-core. For each student, the file lists their grades in the following courses. Except for Core, each value is a grade point for a specific course (such as 3.7 for an A-). For Core, each value is the average grade point for the three courses comprising Core. • M118 (freshman)-finite math M119 (freshman)-calculus K201 (freshman)-computers W131 (freshman)–writing E201, E202 (sophomore)-micro- and macroeconomics L201 (sophomore)–business law A201, A202 (sophomore)-accounting E270 (sophomore)-statistics Core (junior)-finance, marketing, and operations
Transcribed Image Text:A business school committee was charged with studying admissions criteria to the school. Until that time, only juniors were admitted. Part of the committee's task was to see whether freshman courses would be equally good predictors of success as freshman and sophomore courses combined. Here, we take “success" to mean doing well in I-core (the integrated core, a combination of the junior level finance, marketing, and operations courses, F301, M301, and P301). The file Business School contains data on 250 students who had just completed I-core. For each student, the file lists their grades in the following courses. Except for Core, each value is a grade point for a specific course (such as 3.7 for an A-). For Core, each value is the average grade point for the three courses comprising Core. • M118 (freshman)-finite math M119 (freshman)-calculus K201 (freshman)-computers W131 (freshman)–writing E201, E202 (sophomore)-micro- and macroeconomics L201 (sophomore)–business law A201, A202 (sophomore)-accounting E270 (sophomore)-statistics Core (junior)-finance, marketing, and operations
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