a. Develop the least squares estimated regression equation that relates labor hours to house square footage and type of flooring.b. Use the regression equation developed in part (a) to predict labor hours when the house size is 3350 square feet and the type of flooring is wood. Garth James Builders is looking to predict the total number of labor hours required for installing flooring in a house. The prediction is based on the square footage of the house and the type of flooring used. Data have been collected from 10 recently built houses, summarized in the table below:| Square Footage (100s) | Labor Hours | Type of Flooring ||-----------------------|-------------|------------------|| 20 | 195 | Tile || 21 | 170 | Tile || 23 | 220 | Wood || 23 | 200 | Tile || 26 | 230 | Wood || 27 | 225 | Tile || 29 | 240 | Wood || 31 | 225 | Tile || 32 | 275 | Wood || 35 | 260 | Wood |

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Develop the least squares estimated regression equation that relates labor hours to house square footage and type of flooring. b. Use the regression equation developed in part (a) to predict labor hours when the house size is 3350 square feet and the type of flooring is wood.

Develop the least squares estimated regression equation that relates labor hours to house square footage and type of flooring. b. Use the regression equation developed in part (a) to predict labor hours when the house size is 3350 square feet and the type of flooring is wood.

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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