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A mathematics teacher wanted to see the correlation between test scores and homework. The homework grade (x) and test grade (y) are given in the accompanying table. (a) Write the linear regression equation, find the projected test grade, to the nearest integer, for a student with a homework grade of 64.

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A mathematics teacher wanted to see the correlation between test scores and homework-example-1

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Final answer:

The regression equation given is ŷ = -173.51 + 4.83x. For a homework grade of 64, the predicted test grade is 135 (rounded to the nearest integer), based on the provided least-squares regression line equation.

Step-by-step explanation:

The question asks about how to find the regression equation and predict a test grade based on a given homework grade using linear regression. To find the linear regression equation, we typically use the least-squares method to minimize the total distance between our line and the observed data points in the scatter plot. The least-squares regression line equation provided in the question is ŷ = -173.51 + 4.83x.

To predict the test grade for a student with a homework grade of 64, we substitute x = 64 into the equation:

Predicted test grade, ŷ = -173.51 + 4.83(64) = -173.51 + 308.92 = 135.41. When rounded to the nearest integer, the predicted test grade will be 135.

If the correlation coefficient (r) is significantly different from zero, it suggests that there is a significant linear relationship between the third exam score (x) and the final exam score (y).

However, predictions should only be made within the domain of the observed x values to ensure reliability.

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