A student fit the regression model Y = β0 + β1x1 + β2x2 + e to data from the fifty states and Washington, D.C., so n = 51. The response y = median income in thousands of dollars and the two predictor variables are x1 = median monthly housing costs for home owners and x2 = percentage of persons below the poverty level in the last twelvemonths. The least squares estimates are

Predict the response for
(a) x1 = 1100, x2 =13
(b) x1 = 1100, x2 =15
(c) x1 = 1500, x2 =15

Transcribed Image Text:

爲= 66, 168 角= .0156 内=-1.560