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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 44 times)

Pineappleeh

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Question 1

An elections officer wants to model voter turnout (y) in a precinct as a function of type of election, national or state.

Write a model for mean voter turnout, E(y), as a function of type of election.
E(y) = β0 + β1x, where x = voter turnout
E(y) = β0 + β1x, where x = 1 if national, 0 if state
E(y) = β0 + β1x1 + β2x2, where x1 = 1 if national, 0 if not and x2 = 1 if state, 0 if not
E(y) = β0 + β1x + β2x2, where x = voter turnout

Question 2

It is desired to build a regression model to predict y = the sales price of a single family home, based on the neighborhood the home is located in. The goal is to compare the prices of homes that are located in four different neighborhoods. Which regression model should be built?
◦ E(y) = β0 + β1x1 + β2x2 + β3x3 + β4x4, where x1 - x4 are qualitative variables that describe the four neighborhoods.
◦ E(y) = β0 + β1x1 + β2x2 + β3x3, where x1 - x3 are qualitative variables that describe the four neighborhoods.
◦ E(y) = β0 + β1x1 + β2x12, where x1 is a qualitative variable that describes the four neighborhoods.
◦ E(y) = β0 + β1x1, where x1 is a qualitative variable that describes the four neighborhoods.


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Marked as best answer by Pineappleeh on Feb 14, 2020

brittrenee

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Pineappleeh

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Reply 2 on: Feb 14, 2020
Wow, this really help


duy1981999

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Reply 3 on: Yesterday
Excellent

 

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