Below is some of the regression output from a regression of the amount rental houses on an island rent for (expressed in thousands of S's) based on the size of the house (expressed in square feet), whether the house has an ocean front view (VIEW = 1 if it has an ocean front view and = 0 if not), and an interaction term between the ocean front view dummy variable and the size of the house. If the estimated equation is: Price = 1,474 + 0.31*Size + 1,885*View + 0.1"(Size*View) Suppose you just built a house with an ocean front view that is 3900 square feet and you want to decide how much to rent it for. What is the predicted price of a house that is 3900 square feet and has an ocean front view? (please express your answer using 1 decimal places)

Below is some of the regression output from a regression of the amount rental houses on an island rent for (expressed in thousands of S's) based on the size of the house (expressed in square feet), whether the house has an ocean front view (VIEW = 1 if it has an ocean front view and = 0 if not), and an interaction term between the ocean front view dummy variable and the size of the house. If the estimated equation is: Price = 1,474 + 0.31Size + 1,885View + 0.1"(Size*View) Suppose you just built a house with an ocean front view that is 3900 square feet and you want to decide how much to rent it for. What is the predicted price of a house that is 3900 square feet and has an ocean front view? (please express your answer using 1 decimal places)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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