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(Solved): Suppose in a regression analysis to predict house price ( \( (5000) \) using the number of rooms an ...




Suppose in a regression analysis to predict house price ( \( (5000) \) using the number of rooms and distance \( (\mathrm{km}
Suppose in a regression analysis to predict house price ( \( (5000) \) using the number of rooms and distance \( (\mathrm{km}) \) from city's core, the following data were collected. Cenerate a nultiple regression output for the data. a. Find SSE and SSR rounded to the nearest whole number. \[ S S E=\quad S S R= \] Report the required values in parts b., c., and \( \mathrm{d} \). accurate to 3 decimal places: b. \( R^{2}= \) c. The standard error of estimate is d. The regression coefficients: \[ b_{1}=\quad b_{2}= \]


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