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Q11-15E
Expert-verifiedRefer to Exercise 11.14. After the least-squares line has been obtained, the table below (which is similar to Table 11.2) can be used for (1) comparing the observed and the predicted values of y and (2) computing SSE.
a. Complete the table.
b. Plot the least-squares line on a scatterplot of the data. Plot the following line on the same graph:
c. Show that SSE is larger for the line in part b than for the least-squares line.
Answer
The line that minimizes the squared sum of residuals is known as the Least Squares Regression Line. By subtracting from y, the residual is the vertical distance between the observed and anticipated points.
From exercise 11.14, we have
By putting the x value in the above equation, we get
SSE of is smaller than the least square, i.e.
108 < 153.6.39
Therefore, SSE is smaller than the least square.
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