A statistical model for appraisal value of houses is needed. An important predictor variable of appraised value is the number of rooms in any house; y = appraised value of the house (in thousands of dollars) and x = number of rooms in the house. For a sample of n = 91 houses, the following results were obtained: ^y = 91.80 + 19.72x.
What are the properties of the least squares line shown above?
A. average error of prediciton is 0, and SSE is a minimum
B. it will always be a statistically useful predictor of y
C. average error of prediction is 0, and SSE is a maximum
D. it is normal, mean 0, constant variance, and independent