- C For Simple Linear Regression The Standard Error Of The Slope Estimator Is Mse Sx Where Sx Is The Standard Deviatio 1 (16.63 KiB) Viewed 61 times
c) For simple linear regression, the standard error of the slope estimator is √MSE/Sx, where sx is the standard deviatio
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c) For simple linear regression, the standard error of the slope estimator is √MSE/Sx, where sx is the standard deviatio
c) For simple linear regression, the standard error of the slope estimator is √MSE/Sx, where sx is the standard deviation of the X-values. So, the estimate is most accurate if X-values are maximally spread. If X € [a, b], maximal sx occurs when half the X-values are equal to a and the other half equal to b. Is it a good idea to sample this way? [HINT: Consider the residual plot.] [4 marks]