Final answer:
The coefficient of determination between the hours studied and the grade earned is 90%. The standard error of estimate is 5.
Step-by-step explanation:
In statistics, the coefficient of determination, denoted as R-squared, measures the proportion of the variance in one variable that can be explained by another variable. In this case, the coefficient of determination between the hours studied and the grade earned is 90%, which means that 90% of the variance in the grade earned can be explained by the hours studied.
The standard error of estimate (SEE) is a measure of the accuracy of the predictions made by the regression model. In this case, the standard error of estimate is 5. This means that, on average, the actual grade earned is expected to deviate from the predicted grade by 5 units.