A 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, modifyingabove y with caret equals beta 0 plus beta 1 x commay=β0+β1x, where yequals=appraised value of the house (in $thousands) and xequals=number of rooms. using data collected for a sample of n equals 74n=74 houses in east meadow, the accompanying results were obtained. give a practical interpretation of the estimate of the slope of the least squares line.
