hod of least squares" actually accomplish in linear regression? OIt provides at least the squared values of y-hat OIt provides the estimates of x-bar and y-bar in regression OIt minimizes the percentage of variation in y that can be explained through its linear relationship with x alone OIt minimizes the sum of the squared deviations between the estimated and actual values of y

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 17HP
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What does the "method of least squares" actually accomplish in linear regression?
O It provides at least the squared values of y-hat
O It provides the estimates of x-bar and y-bar in regression
O It minimizes the percentage of variation in y that can be explained through its linear relationship with x alone
O It minimizes the sum of the squared deviations between the estimated and actual values of y
Transcribed Image Text:What does the "method of least squares" actually accomplish in linear regression? O It provides at least the squared values of y-hat O It provides the estimates of x-bar and y-bar in regression O It minimizes the percentage of variation in y that can be explained through its linear relationship with x alone O It minimizes the sum of the squared deviations between the estimated and actual values of y
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