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Consider the Following Regression Using the California School Data Set

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Consider the following regression using the California School data set from your textbook. Consider the following regression using the California School data set from your textbook.   = 681.44 - 0.61LchPct n=420,R2=0.75,SER=9.45 where TestScore is the test score and LchPct is the percent of students eligible for subsidized lunch (average = 44.7,max = 100,min = 0). a.What is the effect of a 20 percentage point increase in the student eligible for subsidized lunch? b.Your textbook started with the following regression in Chapter 4:   = 698.9 - 2.28STR n=420,R2=0.051,SER=18.58 where STR is the student teacher ratio. Your textbook tells you that in the multiple regression framework considered,the percentage of students eligible for subsidized lunch is a control variable,while the student teacher ratio is the variable of interest.Given that the regression R2 is so much higher for the first equation than for the second equation,shouldn't the role of the two variables be reversed? That is,shouldn't the student teacher ratio be the control variable while the percent of students eligible for subsidized lunch be the variable of interest? = 681.44 - 0.61LchPct
n=420,R2=0.75,SER=9.45
where TestScore is the test score and LchPct is the percent of students eligible for subsidized lunch (average = 44.7,max = 100,min = 0).
a.What is the effect of a 20 percentage point increase in the student eligible for subsidized lunch?
b.Your textbook started with the following regression in Chapter 4: Consider the following regression using the California School data set from your textbook.   = 681.44 - 0.61LchPct n=420,R2=0.75,SER=9.45 where TestScore is the test score and LchPct is the percent of students eligible for subsidized lunch (average = 44.7,max = 100,min = 0). a.What is the effect of a 20 percentage point increase in the student eligible for subsidized lunch? b.Your textbook started with the following regression in Chapter 4:   = 698.9 - 2.28STR n=420,R2=0.051,SER=18.58 where STR is the student teacher ratio. Your textbook tells you that in the multiple regression framework considered,the percentage of students eligible for subsidized lunch is a control variable,while the student teacher ratio is the variable of interest.Given that the regression R2 is so much higher for the first equation than for the second equation,shouldn't the role of the two variables be reversed? That is,shouldn't the student teacher ratio be the control variable while the percent of students eligible for subsidized lunch be the variable of interest? = 698.9 - 2.28STR
n=420,R2=0.051,SER=18.58
where STR is the student teacher ratio.
Your textbook tells you that in the multiple regression framework considered,the percentage of students eligible for subsidized lunch is a control variable,while the student teacher ratio is the variable of interest.Given that the regression R2 is so much higher for the first equation than for the second equation,shouldn't the role of the two variables be reversed? That is,shouldn't the student teacher ratio be the control variable while the percent of students eligible for subsidized lunch be the variable of interest?


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The American Negro

Historically, a term used to describe African Americans, particularly during periods when racial terminologies were less sensitive.

General Education Board

An organization established by John D. Rockefeller and Frederick T. Gates in 1903 to fund and reform education in the United States, particularly in the South.

Slater Fund

A philanthropic fund established in 1882 by John F. Slater aimed at improving education for African Americans in the southern United States.

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Individuals who have amassed significant wealth and influence through the operation and ownership of large-scale industries, often during the Industrial Revolution.

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