Which of the following statements about least-squares regression involving two quantitative variables, ? and ?, is FALSE? A change of 1 standard deviation in x corresponds to a change of ? standard deviations in ?. The least-squares regression line always passes through the point (). The least-squares regression line of ? on ? is the line that makes the sum of the squares of the vertical distances of the data points from the line as small as possible. When the least-squares regression line is a perfect fit to the data, the correlation coefficient will be exactly 0.
Which of the following statements about least-squares regression involving two quantitative variables, ? and ?, is FALSE? A change of 1 standard deviation in x corresponds to a change of ? standard deviations in ?. The least-squares regression line always passes through the point (). The least-squares regression line of ? on ? is the line that makes the sum of the squares of the vertical distances of the data points from the line as small as possible. When the least-squares regression line is a perfect fit to the data, the correlation coefficient will be exactly 0.
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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B9. Which of the following statements about least-squares regression involving two quantitative variables, ? and ?, is FALSE?
- A change of 1 standard deviation in x corresponds to a change of ? standard deviations in ?.
- The least-squares regression line always passes through the point ().
- The least-squares regression line of ? on ? is the line that makes the sum of the squares of the vertical distances of the data points from the line as small as possible.
- When the least-squares regression line is a perfect fit to the data, the
correlation coefficient will be exactly 0.
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