How can a regression model be used to predict an outcome? O Substitute the values of interest for each independent variable into the regression model O Substitute the values of interest for each of the coefficients in the model O Use Stepwise Regression to incrementally identify the critical independent variables in the best model O Use the L.I.N.E. methods to determine which of the residuals has the least variance, and use those parameters

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 4SGR
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How can a regression model be used to predict an outcome?
Substitute the values of interest for each independent variable into the regression model
Substitute the values of interest for each of the coefficients in the model
Use Stepwise Regression to incrementally identify the critical independent variables in the best model
Use the L.I.N.E. methods to determine which of the residuals has the least variance, and use those parameters
Transcribed Image Text:How can a regression model be used to predict an outcome? Substitute the values of interest for each independent variable into the regression model Substitute the values of interest for each of the coefficients in the model Use Stepwise Regression to incrementally identify the critical independent variables in the best model Use the L.I.N.E. methods to determine which of the residuals has the least variance, and use those parameters
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