Question

a linear regression was made for before and after test scores for an sat prep course. it was predicted that chris would make 1200 on the fir actually made 1150. which statement below is true? a the residual for this data point and its predicted value is 1350. b the residual for this data point and its predicted value is 1175. c the residual for this data point and its predicted value is 50. d the residual for this data point and its predicted value is -50.

Explanation:

To find the residual, we use the formula: Residual = Observed value - Predicted value. Here, the observed value (actual score) is 1150, and the predicted value is 1200. So, Residual = 1150 - 1200 = -50. This matches option D.

Answer:

D. The residual for this data point and its predicted value is -50.