questions 1) The regression line = 3 + 2x has been fitted to the data points (4,8), (2,5), and (1,5). The residual sum, of squares will be:

a.

22.

b.

13

c.

10.

d.

15. questions 2) Simple linear regression requires that the scales of measurement be expressed in either:

a.

ordinal or ratio.

b.

interval or ratio.

c.

nominal or ratio.

d.

nominal or interval.

e.

nominal or ordinal. question 3) A regression analysis between sales (in $1000) and advertising (in $100) resulted in the following least squares line: = 75 + 6x. This implies that if advertising is $8000, then the predicted amount of sales (in dollars) is: [ The meaning of the $ amounts in parentheses is that if advertising is entered in the equation in hundreds of dollars, the equation gives the sales in thousands of dollars]

a.

$487,500.

b.

$123,000.

c.

$4875.

d.

$12,300.

e.

$555,000.