A regression analysis between sales (in $1000) and advertising (in $) resulted in the following least squares line: = 80,000 + 5*x. (The meaning of the parenthetical $ amounts is that if you enter x as the number of dollars, the equation will give you the resulting sales in thousands of dollars.) The equation implies that an:

a.

increase of $5 in advertising is expected to result in an increase of $5,000 in sales.

b.

increase of $1 in advertising is expected to result in an increase of $80,005 in sales.

c.

increase of $5 in advertising is expected to result in an increase of $25,000 in sales.

D. Increase in$1 in advertising is expected to result in an increase of $5 in sale. ques 2) To determine whether a single coin is fair, the coin was tossed 150 times, and head was observed 60 times. The value of the test statistic is: (Assume that we are doing this using a chi-square test not a test of sample proportions of the type carried out in chapter 10).

a.

4.

b.

6.

c.

40.

d.

60.