Question

For chapter 1 problem 6 of the Applied Linear Regression Models 4th Edition book, I found...

For chapter 1 problem 6 of the Applied Linear Regression Models 4th Edition book, I found the formula using B_0 (200) and B_1 (5), my equation is y=200+5x. How do you calculate the error terms e_i or graph the error terms with the correlating data points when the only other information given is just the standard deviation equals 4?

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Answer #1

Answer

The linear model is: yi = β0 + β1xi + ei, where ei is the error term.

The regression equation is given by: yicap = β0cap + β1capxi, where β0cap + β1cap are the least square estimates of β0 and β1

Thus, the error term, ei = yi - yicap

So, to obtain the error terms, ei from the given data points, substitute each xi value in the regression equation to get yicapand then subtract this estimated value from the corresponding y-value in the data point to get the error ei. Repeat this for all i's. Plot these ei’s against the xi values to get the plot/graph of the residuals.      

DONE

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