Question: Acorele oppret was to develop a statistical model to predict the approsed value of houses in a section of the county called East Meadow. One

Acorele oppret was to develop a statistical model to predict the approsed 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 the number of rooms in the house. Consequently, the appraiser decided to fit the sample linear regression model ELY) - Ap1 while y= upornitas value of the house in thoutance of coltare) and number of more. Vung itata collected for a sample of 74 houses in East Meadow. the following results were obtained 7400 35 Give a practical pretition of most of the son of the wine Foroach additional toont in the house, weather produto increase $23.050 For a house with rooms, we estimate the red to be 574.000 For each addonat room in the house was the poised Walue to increase 574,000 For each otion dollar of core value, weet the number of room in the house to increase by 23.65

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