A B Size 2422 2427 1848 1003 5670 2561 2284 1956 1 Taxes 2 21931 3 17423 4 18104 5 15673 6 143924 33607 8 15287 9 16710 10 18264 11 16734 12 15175 13 36099 14 31086 15 42133 16 14354 17 38917 18 25313 19 22906 20 16189 21 29296 2089 1382 1335 3087 2822 3330 1565 4005 4047 2464 3536 2841 22
2 Exercise 14-9 Algo 20 points A realtor studies the relationship between the size of a house (in square feet) and the property taxes (in $) owed by the owner. The table below shows a portion of the data for 20 homes in a suburb 60 miles outside of New York City. (You may find it useful to reference the ttable.) . eBook Property Taxes 21,931 17,423 Size 2,422 2,427 Hint 29, 296 2,841 Reference Click here for the Excel Data File a-1. Calculate the sample correlation coefficient rxy. (Round final answer to 4 decimal places.) Sample correlation coefficient a-2. Interpret rxy. The correlation coefficient indicates a positive linear relationship. The correlation coefficient indicates a negative linear relationship. The correlation coefficient indicates no linear relationship. b. Specify the competing hypotheses in order to determine whether the population correlation coefficient between the size of a house and property taxes differs from zero. HO: Pxy = 0; HA: Pxy + HO: Pxy 2 0; HA: Pxy < 0 HO: Pxy s ; HA: Pxy > 0 c-1. Calculate the value of the test statistic. (Round final answer to 3 decimal places.) Test statistic c-2. Find the p-value. p-value < 0.01 p-value > 0.10 0.05 Picture p-value < 0.10 0.02 Picture p-value < 0.05
A B Size 2422 2427 1848 1003 5670 2561 2284 1956 1 Taxes 2 21931 3 17423 4 18104 5 15673 6 143924 33607 8 15287 9 16710
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A B Size 2422 2427 1848 1003 5670 2561 2284 1956 1 Taxes 2 21931 3 17423 4 18104 5 15673 6 143924 33607 8 15287 9 16710
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