(e) Find the least-squares regression line treating square footage as the explanatory variable. Data TableSquare Footage, x225132401137196630012730399822862734176718693978Selling Price ($000s), y387.4382.7191.3336.6603.6363.4609.9388.8444.5307.2283.8715.1 One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars)for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below.Click the icon to view the housing data.1000-1000O No4000Yes150-10004000(c) Determine the linear correlation coefficient between square footage and asking price.r= 0.900(Round to three decimal places as needed.)(d) Is there a linear relation between square footage and asking price?C1501000(e) Find the least-squares regression line treating square footage as the explanatory variable.y=x+(Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.)40001000150750

(e) We have given that, The data set are :- X :- 2251, 3240, 1137, 1966, 3001, 2730, 3998,…

Answered: Square Footage, x 2251 3240 1137 1966…

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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Square Footage, x 2251 3240 1137 1966 3001 2730 3998 2286 2734 1767 1869 3978 Selling Price ($000s), y 387.4 382.7 191.3 336.6 603.6 363.4 609.9 388.8 444.5 307.2 283.8 715.1