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A Professor of Economics Wants to Study the Relationship Between

Question 114

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A professor of economics wants to study the relationship between income (y in $1000s) and education (x in years). A random sample eight individuals is taken and the results are shown below. A professor of economics wants to study the relationship between income (y in $1000s) and education (x in years). A random sample eight individuals is taken and the results are shown below.   Determine the standard error of estimate. s<sub>r</sub> = ______________ Describe what this statistic tells you about the regression line. ____________________________ Determine the coefficient of determination. R<sup>2</sup> = ______________ Discuss what its value tells you about the two variables. ________________________________________________________ Calculate the Pearson correlation coefficient. r = ______________ Why does it have the sign it has? ________________________________________________________ Conduct a test of the population slope to determine at the 5% significance level whether a linear relationship exists between years of education and income. Test statistic: t = ______________ Rejection Region: Reject H<sub>0</sub> if | t | > ______________ Conclusion: ______________ A linear relationship ______________ between years of education and income. Determine the standard error of estimate.
sr = ______________
Describe what this statistic tells you about the regression line.
____________________________
Determine the coefficient of determination.
R2 = ______________
Discuss what its value tells you about the two variables.
________________________________________________________
Calculate the Pearson correlation coefficient.
r = ______________
Why does it have the sign it has?
________________________________________________________
Conduct a test of the population slope to determine at the 5% significance level whether a linear relationship exists between years of education and income.
Test statistic:
t = ______________
Rejection Region:
Reject H0 if | t | > ______________
Conclusion:
______________
A linear relationship ______________ between years of education and income.

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2.436; The model's fit to these data is ...

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