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.)
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