(a): Your answer is incorrect. A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the space, the following variables are used in a multiple regression model. y sales price (in thousands of dollars) x₁ = total floor area (in square feet) X₂= number of bedrooms x3 = distance to nearest high school (in miles) The estimated model is as follows. y=121 +0.083x₁ +23x₂-4x3 Answer the questions below for the interpretation of the coefficient of x₁ in this model. (a) Holding the other variables fixed, what is the average change in sales price for each 100-square-foot increase in floor area? 8.3 dollars (b) Is this change an increase or a decrease? O increase O decrease X
(a): Your answer is incorrect. A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the space, the following variables are used in a multiple regression model. y sales price (in thousands of dollars) x₁ = total floor area (in square feet) X₂= number of bedrooms x3 = distance to nearest high school (in miles) The estimated model is as follows. y=121 +0.083x₁ +23x₂-4x3 Answer the questions below for the interpretation of the coefficient of x₁ in this model. (a) Holding the other variables fixed, what is the average change in sales price for each 100-square-foot increase in floor area? 8.3 dollars (b) Is this change an increase or a decrease? O increase O decrease X
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![(a): Your answer is incorrect.
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently
sold homes in the space, the following variables are used in a multiple regression model.
y sales price (in thousands of dollars)
X1
= total floor area (in square feet)
x₂ = number of bedrooms
X3
= distance to nearest high school (in miles)
The estimated model is as follows.
y = 121 +0.083x₁ +23x₂−4x3
Answer the questions below for the interpretation of the coefficient of x₁ in this model.
(a) Holding the other variables fixed, what is the average change in sales price for each
100-square-foot increase in floor area?
8.3 dollars
(b) Is this change an increase or a decrease?
increase
decrease](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff4005806-80a4-4649-adb7-d8eff492afe8%2Fa37c5cff-6844-40e3-a893-c08654d55889%2Fso40ljo_processed.jpeg&w=3840&q=75)
Transcribed Image Text:(a): Your answer is incorrect.
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently
sold homes in the space, the following variables are used in a multiple regression model.
y sales price (in thousands of dollars)
X1
= total floor area (in square feet)
x₂ = number of bedrooms
X3
= distance to nearest high school (in miles)
The estimated model is as follows.
y = 121 +0.083x₁ +23x₂−4x3
Answer the questions below for the interpretation of the coefficient of x₁ in this model.
(a) Holding the other variables fixed, what is the average change in sales price for each
100-square-foot increase in floor area?
8.3 dollars
(b) Is this change an increase or a decrease?
increase
decrease
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