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Author Question: It is desired to build a regression model to predict y = the sales price of a single family home, ... (Read 50 times)

evelyn o bentley

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on: Feb 14, 2020

Question 1

Consider the model



where x1 is a quantitative variable and x2 and x3 are dummy variables describing a qualitative variable at three levels using the coding scheme


The resulting least squares prediction equation is


 What is the equation of the response curve for E(y) when x2 = 0 and x3 = 0?
◦ = 8.8 - 1.1x1 + 3.2x12
◦ = 8.8 - 1.3x1 + 3.2x12
◦ = 8.8 - 1.6x2 - 4.4x3
◦ = 8.8 - .22x1 + 3.15x12

Question 2

It is desired to build a regression model to predict y = the sales price of a single family home, based on the x1 = size of the house and x2 = the neighborhood the home is located in. The goal is to compare the prices of homes that are located in two different neighborhoods. A complete 2nd-order model is proposed. Which regression model proposes the complete 2nd-order model?
◦ E(y) = β0 + β1x1 + β2x12 + β3x2 + β4x1x2 + β3x12x2
◦ E(y) = β0 + β1x1 + β2x2 + β3x1x2
◦ E(y) = β0 + β1x1 + β2x12 + β3x2 + β4x22
◦ E(y) = β0 + β1x1 + β2x2
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by evelyn o bentley on Feb 14, 2020

Liddy

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Reply #1 on: Feb 14, 2020
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evelyn o bentley

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Reply 2 on: Feb 14, 2020
:D TYSM

tranoy

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Reply 3 on: Yesterday
Wow, this really help

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