Consider the accompanying data on x = research and development expenditure (thousands of dollars) and y = growth rate (% per year) for eight different industries.
x | 2025 | 5039 | 906 | 3572 | 1157 | 327 | 378 | 191 |
y | 1.90 | 3.96 | 2.44 | 0.88 | 0.37 |
−0.90 |
0.49 | 1.01 |
(a) Would a simple linear regression model provide useful information for predicting growth rate from research and development expenditure? Use a 0.05 level of significance.
Calculate the test statistic. (Round your answer to two decimal places.)
t =
What is the P-value for this test? (Use a statistical computer package to calculate the P-value. Round your answer to three decimal places.)
P-value =
(b)
Use a 90% confidence interval to estimate the average change in growth rate associated with a $1000 increase in expenditure. (Round your answer to six decimal places.)
(_____,______) % per yr
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