Which of the following is not correct about "R Square" in regression analysis?
A) R Square is a measure of "goodness of fit" of the model.
B) An R Square value of 1.0 indicates a perfect fit of the model.
C) R Square explains how much of the variability in x is explained by y.
D) R Square explains how much of the variability in y is explained by x.
Correct Answer:
Verified
Q69: Star,Inc.used Excel to run a least-squares regression
Q70: Using the results of the least-squares regression
Q71: Star,Inc.used Excel to run a least-squares regression
Q72: Winston uses the high-low method.It had an
Q73: We generally need _ data points to
Q75: Star,Inc.used Excel to run a least-squares regression
Q76: Fremont,which uses the high-low method,reported total costs
Q77: Using the results of the least-squares regression
Q78: A statistical method for finding the best-fitting
Q79: Citrus,Inc.used the high-low method to estimate that
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents