Which of the following circumstances would likely produce a regression model with very “good fit”. Group of answer choices Using consumption expenditures as a LHS variable and disposable income as a RHS variable Using obesity rates in an area as a LHS variable and number of ice cream shops in the area as a RHS variable Using family size as a LHS variable and college tuition costs as a RHS variable Using number of cops in an area as a LHS variable and number of donut shops in an area as a RHS variable Using height as a LHS variable and income as a RHS variable
Which of the following circumstances would likely produce a regression model with very “good fit”. Group of answer choices Using consumption expenditures as a LHS variable and disposable income as a RHS variable Using obesity rates in an area as a LHS variable and number of ice cream shops in the area as a RHS variable Using family size as a LHS variable and college tuition costs as a RHS variable Using number of cops in an area as a LHS variable and number of donut shops in an area as a RHS variable Using height as a LHS variable and income as a RHS variable
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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Question
Which of the following circumstances would likely produce a regression model with very “good fit”.
Group of answer choices
Using consumption expenditures as a LHS variable and disposable income as a RHS variable
Using obesity rates in an area as a LHS variable and number of ice cream shops in the area as a RHS variable
Using family size as a LHS variable and college tuition costs as a RHS variable
Using number of cops in an area as a LHS variable and number of donut shops in an area as a RHS variable
Using height as a LHS variable and income as a RHS variable
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