A study of college soccer games revealed the correlation between the number of shots attempted and the number of goals scored to be 039 for a sample of 26 games Use Appendix B2 for the t-values
aState the decision rule for 001 significance level: H0: ? ? 0; H1: ?> 0 (Round the final answer to 3 decimal places)
Reject H0 if t> _______
bCompute the value of the test statistic(Round the final answer to 3 decimal places)
Value of the test statistic _______
cWhat is the p-value?(Round the final answer to 4 decimal places)
p-value is _______
dCan we conclude that there is a positive correlation between the two variables? Use the 001 significance level
(Do not reject or Reject) H0 We (cannot or can) conclude that there is a positive correlation between the two variables There is(not positive or positive) correlation between the selling price and the number of miles driven
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A study of college soccer games revealed the correlation between the number of shots attempted and the number of goals scored to be 0.87 for a sample of 11 games. a. State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0 (Round the final answer to 3 decimal places.) Reject H0 if t > b. Compute the value of the test statistic. (Round the final answer to 3 decimal places.) ...
The Airline Passenger Association studied the relationship between the number of passengers on a particular flight and the cost of the flight. It seems logical that more passengers on the flight will result in more weight and more luggage, which in turn will result in higher fuel costs. For a sample of 25 flights, the correlation between the number of passengers and total fuel cost was 0.672. (1) State the decision rule for 0.05 significance level: H0: ρ ≤ 0;...
The Airline Passenger Association studied the relationship between the number of passengers on a particular flight and the cost of the flight. It seems logical that more passengers on the flight will result in more weight and more luggage, which in turn will result in higher fuel costs. For a sample of 22 flights, the correlation between the number of passengers and total fuel cost was 0.640. 1. State the decision rule for 0.050 significance level: H0: ρ ≤ 0;...
The Airline Passenger Association studied the relationship between the number of passengers on a particular flight and the cost of the flight. It seems logical that more passengers on the flight will result in more weight and more luggage, which in turn will result in higher fuel costs. For a sample of 20 flights, the correlation between the number of passengers and total fuel cost was 0.688. (1) State the decision rule for 0.02 significance level: H0: ρ ≤ 0;...
A study of 18 worldwide financial institutions showed the correlation between their assets and pretax profit to be 0.79. Can we conclude that there is a positive correlation between assets and pretax profit? 1-b. State the decision rule for 0.10 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.) Reject H0 if t > 2. Compute the value of the test statistic. (Round your answer to 2 decimal places.) 3. Can we...
Can a pretest on mathematics skills predict success in a statistics course? The 82 students in an introductory statistics class took a pretest at the beginning of the semester. The least-squares regression line for predicting the score y on the final exam from the pretest score x was ŷ = 9.8 + 0.74x. The standard error of b1 was 0.41. (a) Test the null hypothesis that there is no linear relationship between the pretest score and the score on the...
Consider the following competing hypotheses: H0: ρxy = 0 HA: ρxy ≠ 0 The sample consists of 27 observations and the sample correlation coefficient is 0.38. [You may find it useful to reference the t table.] a-1. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) TEST STATISTIC: ________ a-2. Find the p-value. 0.02 p-value < 0.05 0.01 p-value < 0.02 p-value < 0.01 p-value 0.10...
Can a pretest on mathematics skills predict success in a statistics course? The 82 students in an introductory statistics class took a pretest at the beginning of the semester. The least-squares regression line for predicting the score y on the final exam from the pretest score x was ŷ = 9.4 + 0.78x. The standard error of b1 was 0.44. (a) Test the null hypothesis that there is no linear relationship between the pretest score and the score on the...
Consider the following competing hypotheses: H0: ρxy ≥ 0 HA: ρxy < 0 The sample consists of 30 observations and the sample correlation coefficient is –0.46. Use Table 2. a. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) Test statistic b. Approximate the p-value. 0.005 < p-value < 0.01 p-value < 0.005 0.01 < p-value <...
For a sample of 40 large U.S. cities, the correlation between the mean number of square feet per office worker and the mean monthly rental rate in the central business district is -0.363. State the decision rule for 05 significance level: Hop: 0; Hi:p<0 (Negative value should be indicated by a minus sign. Round your answer to 3 decimal places.) Reject Ho ift< Compute the value of the test statistic. (Negative value should be indicated by a minus sign. Round...