The following MINITAB output is for a best subsets regression involving five dependentvariables X,..., X.The two models of each size with the highest values of R² are listed.Best Subsets Regression: Y versus X1, X2, X3, X4, X5Response is YMallowsXXXXXVars R-R-C-pS12 3 4 5Są Sq(adj)177.3 77.1133.6 1.4051 X110.29.3811.7 2.7940х289.389.014.60.97126 X x277.877.3130.5 1.3966 X X390.5 90.23.60.91630 X хх389.4 89.114.60.96763XXX490.7 90.34.30.91446 XXXX490.690.25.30.91942 X XXX590.7 90.26.00.91805 XXXXXWhich variables are in the model selected by the minimum C, criterion?Which variables are in the model selected by the adjusted R2 criterion?a.b.C.Are there any other good models?

a. According to Mallows’ Cp criterion in the best subsets regression analysis, the subset of the…

Answered: The following MINITAB output is for a…

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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For a multiple regression analysis with 2 and 12 degrees of freedom, MS regression is 135 and MS residual is 15. What is the decision for this test?
A researcher plans to study the causal effect of police on crime using data from a random sample of U.K. counties. He plans to regress the county’s crime rate on the (per capita) size of the county’s police force. Explain why this regression is likely to suffer from omitted variable bias. Which variable would you add to the regression to controlfor important omitted variable? Determine whether the regression will likely over or underestimate the effect of police on the crime rate?
The ANOVA summary table to the right is for a multiple regression model with six independent variables. Complete parts (a) through (e). Draw a conclusion. Choose the correct answer below. (3) Degrees of Source Freedom Regression Error Total 6 26 32 Sum of Squares 240 190 430 A. There is insufficient evidence of a significant linear relationship with at least one of the independent variables because the test statistic is less than the critical value. O B. There is sufficient evidence of a significant linear relationship with at least one of the independent variables because the p-value is less than the level of significance. C. There is sufficient evidence of a significant linear relationship with at least one of the independent variables because the test statistic is greater than the level of significance. D. There is insufficient evidence of a significant linear relationship with at least one of the independent variables because the test statistic is greater than the critical value.
The marketing manager wants to estimate the effect of the MBA program on Salary controlling for the other factors. Which regression model is the MOST appropriate? Oa. Salary = B_0+B_1 MBA + ε Ob. Salary = 3_0+ B_1 MBA + B_2 Work + e c. Salary = B_0+B_1 MBA+B_2 Work + B_3 Age +8 Od. Salary = B_0+ B_1 MBA + B_2 Work + B_3 Age +B_4 Gender + ε
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