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Mathematics, 17.04.2020 01:10 heyhowdy

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 linear regression model E(y)equalsbeta 0plusbeta 1x, where y equals the appraised value of the house (in thousands of dollars) and x equals the number of rooms. Using data collected for a sample of nequals74 houses in East Meadow, the following result was obtained. ModifyingAbove y with caretequals74.80plus19.83x Give a practical interpretation of the estimate of the slope of the least squares line.

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