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Final and course grade: For this data set, the least squares regression line is Y=31.72+0.62X, where X represents the final exam score as a percent

Final and course grade:For this data set, the least squares regression line is Y=31.72+0.62X, where X represents the final exam score as a percent and Y represents the predicted course grade as a percent.

Notice that the regression line for this data set has slope 0.62. What is the most precise and accurate interpretation of the slope?

A.Students with higher final exam scores tend to have higher course grades.

B.For every 1% increase in a students final exam score, we expect to see a 0.62% decrease in the course grade.

C.For every 1% increase in a students final exam score, we expect to see a 0.62% increase in the course grade.

D.For every 1% increase in a students final exam score, we expect to see a 62% increase in the course grade

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