County real estate appraiser wants to develop a statistical model to predict the appraised value of houses in a section of the county called east meadow. one of the many variables thought to be an important predictor of appraised value is the number of rooms in the house. consequently, the appraiser decided to fit the simple linear regression model, where y = appraised value of the house (in $thousands) and x = number of rooms. using data collected for a sample of houses in east meadow, the following results were obtained: = 74.80 + 21.98xsβ = 71.24, t = 1.05 (for testing β0)sβ = 2.63, t = 7.49 (for testing β1)sse = 60,775, mse = 841, s = 29, r2 = .44range of the x-values: 5 - 11range of the y-values: 160 - 300