The document discusses computing the sum of squared residuals for regression lines fit to a dataset. It asks the reader to (a) determine the least squares regression line for a dataset, (b) graph it, (c) compute the sum of squared residuals for an alternative regression line, and (d) compute the sum of squared residuals for the least squares line found in part (a). The reader is directed to view an accompanying data table.

1. (d)Compute the sum of the squared residuals of the given data set for the least-squares regression
line found in part (a).
The sum of the squared residuals for the least-squares regression line is __.
Consider the data set given in the accompanying table. Complete parts (a) through (d). Click the
icon to view the data table. (a) Determine the least-squares regression line. Choose the correct
answer below. A. The least-squares regression line is y = 1.5 x + 1.75 . B. The least-squares
regression line is y = 1.8 x + 1.6 . C. The least-squares regression line is y = 1.8 x + 1.75 . D. The
least-squares regression line is y = 1.6 x + 1.8 . (b) Graph the least-squares regression line on the
scatter diagram. Choose the correct graph below. A. B. C. D. (c) The equation of the line
containing the points ( 2 , 2 ) and ( 2 , 5 ) is y = 1.75 x + 1.5 . Compute the sum of the squared
residuals of the given data set for this line. The sum of the squared residuals for the line
containing the points ( 2 , 2 ) and ( 2 , 5 ) is Consider the data set given in the accompanying
table. Complete parts (a) through (d). Click the icon to view the data table. (a) Determine the
least-squares regression line. Choose the correct answer below. A. The least-squares regression
line is y = 1.5 x + 1.75 B. The least-squares regression line is y = 1.8 x + 1.6 . Data Table C. The
least-squares regression line is y = 1.8 x + 1.75 . D. The least-squares regression line is y = 1.6 x
+ 1.8 . (b) Graph the least-squares regression line on the scatter diagram. Choose the correct A.
B. (c) The equation of the line containing the points ( 2 , 2 ) and ( 2 , 5 ) is y = 1.75 x + 1.5 .
Compute the sum of the squared residuals of the given data set for this line. The sum of the
squared residuals for the line containing the points ( 2 , 2 ) and ( 2 , 5 ) is