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When you think that many independent variables are impacting the dependent variable, you will want to use: Non-linear regression ANOVA regression Point-in-time regression Multiple linear regression

When you think that many independent variables are impacting the dependent variable, you will want to use: Non-linear regression ANOVA regression Point-in-time regression Multiple linear regression

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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When you think that many independent variables are impacting the dependent variable, you will want to use: ONon-linear regression ANOVA regression Point-in-time regression Multiple linear regression There are two influences on the error of variables' predictability. They are: Error caused by the fact we are using a sample | Error caused by the scatter of points around the line Error caused by the axes Error caused by population standardization
Transcribed Image Text:When you think that many independent variables are impacting the dependent variable, you will want to use: ONon-linear regression ANOVA regression Point-in-time regression Multiple linear regression There are two influences on the error of variables' predictability. They are: Error caused by the fact we are using a sample | Error caused by the scatter of points around the line Error caused by the axes Error caused by population standardization
The hypothesis has been proposed that a patient's weight, cholesterol level, systolic blood pressure, and diastolic blood pressure are correlated with the survival time of an individual. What kind of regression would you use to answer this question? Point-in-time regression Non-linear regression ANOVA regression Multiple linear regression
Transcribed Image Text:The hypothesis has been proposed that a patient's weight, cholesterol level, systolic blood pressure, and diastolic blood pressure are correlated with the survival time of an individual. What kind of regression would you use to answer this question? Point-in-time regression Non-linear regression ANOVA regression Multiple linear regression
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