In: Statistics and Probability
10.30 Grade inflation. The average undergraduate GPA for American colleges and universities was estimated based on a sample of institutions that published this information.13 Here are the data for public schools in that report:
Year | 1992 | 1996 | 2002 | 2007 |
GPA | 2.85 | 2.90 | 2.97 | 3.01 |
Do the following by hand or with a calculator and verify your results with a software package.
(a) Make a scatterplot that shows the increase in GPA over time. Does a linear increase appear reasonable?
(b) Find the equation of the least-squares regression line for predicting GPA from year. Add this line to your scatterplot.
(c) Compute a 95% confidence interval for the slope and summarize what this interval tells you about the increase in GPA over time.
YES LINEAR INCREASE APPEAR REASONABLE.
SOLUTION B:
Based on the above table, the following is calculated:
Therefore, based on the above calculations, the regression coefficients (the slope m, and the y-intercept n) are obtained as follows:
GPA=−18.5891+0.0108YEAR
SOLUTION C: To compute 95% confidence interval for slope we need to find out estimated standard error of estimate for slope
SE = sm = sqrt [ Σ(yi - ŷi)2 / (n - 2) ] / sqrt [ Σ(xi - x)2 ]
= sqrt[0.000123518/4]/sqrt(130.75)
= 0.007858695/11.43459663
= 0.000687
t critical value= 4.3
95% confidence interval is