Question

A health policy economist interested in investigating the relationship between the cost of prescription drugs in...

A health policy economist interested in investigating the relationship between the cost of prescription drugs in Canada and the cost of prescription drugs in the United States has information from a random sample of

51

prescription drugs sold in both countries. For each of these drugs, the economist is examining two pieces of information: the average cost

x

(in Canadian dollars) of a one-month supply of the drug in Canada, and the average cost

y

(in U.S. dollars) of a one-month supply of the drug in the United States. Using computer software, the economist finds that, for the sample of drugs examined, the least-squares regression equation relating

x

and

y

is

y=−0.66+ 0.77x

. The economist also notices from the software that the standard error of the slope of the least-squares regression line is approximately

0.32

.

Test for a significant linear relationship between

x

and

y

by doing a hypothesis test regarding the population slope

β1

. (Assume that the variable

y

follows a normal distribution for each value of

x

and that the other regression assumptions are satisfied.) Use the

0.05

level of significance, and perform a two-tailed test. Then fill in the table below.

(If necessary, consult a list of formulas.)


The null hypothesis:

H0:

The alternative hypothesis:

H1:

The type of test statistic:

(Choose one)Z,t,Chi square, or F

The value of the test statistic:
(Round to at least three decimal places.)

The two critical values at the

0.05

level of significance:
(Round to at least three decimal places.)

and

Based on the data, can the economist conclude (using the 0.05 level) that there is a significant linear relationship between the average prescription drug cost in Canada and the average prescription drug cost in the United States?

Yes

No

Homework Answers

Answer #1

The null hypothesis:

H0:

The alternative hypothesis:

H1:

The type of test statistic:

t

The value of the test statistic:
(Round to at least three decimal places.)

0.77/0.32 = 2.406

The two critical values at the

0.05

level of significance:
(Round to at least three decimal places.)-

-1.960,1.960

Based on the data, can the economist conclude (using the 0.05 level) that there is a significant linear relationship between the average prescription drug cost in Canada and the average prescription drug cost in the United States? yes

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