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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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
Transcribed Image Text:5.
Indicate if each of the following statements about the simple linear regression model is
true or false and explain why.
(a). The simple regression line estimated by the method of Least Squared passes through the
sample mean of dependent and independent variable.
(b). The slope estimator of the Least Squares regression line is free of measure.
(c). The sample covariance between the residuals from the least square regression and the
explanatory variable is zero.
(d). If the values of x more widely spread out, the estimate of the slope coefficient is less concise.
(e). Adjusted R-squared will always increase when an additional independent variable is added into
the regression.
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