The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration with a major in information systems. The estimated regression equation for these data is ý = 1790.5 + 581.1x. GPA Monthly Salary ($) 2.6 3.4 3.6 3.2 3.5 3300 3600 4000 3500 3900 3600 2.9 a. Compute SST, SSR, and SSE. b. Compute the coefficient of determination r. Comment on the goodness of fit. c. What is the value of the sample correlation coefficient?

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The following data are the monthly salaries y and the grade point averages x for students
who obtained a bachelor's degree in business administration with a major in information
systems. The estimated regression equation for these data is ŷ = 1790.5 + 581.1x.
GPA
Monthly Salary ($)
2.6
3.4
3.6
3.2
3.5
2.9
3300
3600
4000
3500
3900
3600
a. Compute SST, SSR, and SSE.
b. Compute the coefficient of determination r². Comment on the goodness of fit.
c. What is the value of the sample correlation coefficient?
Transcribed Image Text:The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration with a major in information systems. The estimated regression equation for these data is ŷ = 1790.5 + 581.1x. GPA Monthly Salary ($) 2.6 3.4 3.6 3.2 3.5 2.9 3300 3600 4000 3500 3900 3600 a. Compute SST, SSR, and SSE. b. Compute the coefficient of determination r². Comment on the goodness of fit. c. What is the value of the sample correlation coefficient?
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