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What is extrapolation and why is it a bad idea in regression analysis? O a. Extrapolation is prediction far outside the range of the data. These predictions may be incorrect if the linear trend does not continue, and so extrapolation generally should not be trusted. O b. Extrapolation is prediction far outside the range of the data. These predictions may be incorrect if the standard deviation is too large, and so extrapolation generally should not be trusted. Oc. Extrapolation is the tendency for values of the explanatory variable that are far from the mean to produce values of the response variable that are closer to the mean. These predictions may be incorrect if the standard deviation is too large, and so extrapolation generally should not be trusted. O d. Extrapolation is the tendency for values of the explanatory variable that are far from the mean not continue, and so extrapolation generally should not be trusted. produce values of the response variable that are closer to the mean. These predictions may be incorrect if the linear trend does

What is extrapolation and why is it a bad idea in regression analysis? O a. Extrapolation is prediction far outside the range of the data. These predictions may be incorrect if the linear trend does not continue, and so extrapolation generally should not be trusted. O b. Extrapolation is prediction far outside the range of the data. These predictions may be incorrect if the standard deviation is too large, and so extrapolation generally should not be trusted. Oc. Extrapolation is the tendency for values of the explanatory variable that are far from the mean to produce values of the response variable that are closer to the mean. These predictions may be incorrect if the standard deviation is too large, and so extrapolation generally should not be trusted. O d. Extrapolation is the tendency for values of the explanatory variable that are far from the mean not continue, and so extrapolation generally should not be trusted. produce values of the response variable that are closer to the mean. These predictions may be incorrect if the linear trend does

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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What is extrapolation and why is it a bad idea in regression analysis? O a. Extrapolation is prediction far outside the range of the data. These predictions may be incorrect if the linear trend does not continue, and so extrapolation generally should not be trusted. O b. Extrapolation is prediction far outside the range of the data. These predictions may be incorrect if the standard deviation is too large, and so extrapolation generally should not be trusted. O c. Extrapolation is the tendency for values of the explanatory variable that are far from the mean to produce values of the response variable that are closer to the mean. These predictions may be incorrect if the standard deviation is too large, and so extrapolation generally should not be trusted. O d. Extrapolation is the tendency for values of the explanatory variable that are far from the mean to produce values of the response variable that are closer to the mean. These predictions may be incorrect if the linear trend does not continue, and so extrapolation generally should not be trusted.
Transcribed Image Text:What is extrapolation and why is it a bad idea in regression analysis? O a. Extrapolation is prediction far outside the range of the data. These predictions may be incorrect if the linear trend does not continue, and so extrapolation generally should not be trusted. O b. Extrapolation is prediction far outside the range of the data. These predictions may be incorrect if the standard deviation is too large, and so extrapolation generally should not be trusted. O c. Extrapolation is the tendency for values of the explanatory variable that are far from the mean to produce values of the response variable that are closer to the mean. These predictions may be incorrect if the standard deviation is too large, and so extrapolation generally should not be trusted. O d. Extrapolation is the tendency for values of the explanatory variable that are far from the mean to produce values of the response variable that are closer to the mean. These predictions may be incorrect if the linear trend does not continue, and so extrapolation generally should not be trusted.
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