We take a random sample of houses currently for sale in Rexburg and we want to use the squarefootage of a house to predict it's corresponding sale price. After regression, we find the regressionequation to be: Y- 80000 + 160 X. Use this information to answer all parts. Part 1: Which is the explanatory variable?O All houses currently for sale in RexburgO All houses in our sample of houses currently for sale in RexburgO Square footage of a houseO Price of a housePart 2: What would be the response variable?O All houses currently for sale in RexburgO All houses in our sample of houses currently for sale in RexburgO Square footage of a houseO Price of housePart 3: Based on the material taught in this course, which of the followingis the most apportehypothesis to determine if the square footage of a house has a statistically signifcant ler oiwith the price of the house?O Ho : Bo = 0O Ho : B + 43O Ho : Bi 0O He : B = 43O Ho : Bi =0Part 4: Based on the data, the agency decides to reject their null hypothesis. How should they statetheir conclusion?O There is insufficient evidence to say that there is a linear relationship between the square footage and the saleprice of the house.O There is sufficient evidence to say that true slope of the regression line is not 0.01.O There is sufficient evidence to say that there is a linear relationship between the square footage and the saleprice of a house.There is sufficient evidence to say that there is NO linear relationship between the square footage and the salenrice of a house.Part 5: Predict the sale price of a house that has a size of 1700 square feet.

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Answered: We take a random sample of houses…

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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We take a random sample of houses currently for sale in Rexburg and we want to use the sqare footage of a house to predict it's corresponding sale price. Alter regression, we find the regression equation to be: Y- 80000 + 160 X. Use this information to answer all parts