The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1�1) is the square footage, the second independent variable (x2�2) is the number of bedrooms, and the third independent variable (x3�3) is the age of the house.Effects on Selling Price of HousesSquare FeetNumber of BedroomsAgeSelling Price1119111933331009001009001308130833441198001198001452145233661898001898001693169333661905001905002005200533661969001969002210221033992166002166002301230144992509002509002345234544101026780026780028532853551313270000270000Copy DataStep 1 of 2 : Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places

A regression is a technique in statistics that relates a dependent and independent variable. In this…

Answered: The following data was collected to…

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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The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1�1) is the square footage, the second independent variable (x2�2) is the number of bedrooms, and the third independent variable (x3�3) is the age of the house.

Effects on Selling Price of Houses

Square Feet	Number of Bedrooms	Age	Selling Price
11191119	33	33	100900100900
13081308	33	44	119800119800
14521452	33	66	189800189800
16931693	33	66	190500190500
20052005	33	66	196900196900
22102210	33	99	216600216600
23012301	44	99	250900250900
23452345	44	1010	267800267800
28532853	55	1313	270000270000