Consider the data. x 3 12 6 20 14 70 40 55 5 10 (a) Compute the mean square error using equation s=MSE SSE (Round your answer to two decimal places.) (b) Compute the standard error of the estimate using equations = MSE = SSE (Round your answer to three decimal places.) (c) Compute the estimated standard deviation of by using equation sp (Round your answer to three decimal places.) (d) Use the t test to test the following hypotheses (a = 0.05): Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your condusion. O Do not reject Ho. We cannot conclude that the relationship between x and y is significant. O Reject Ho. We cannot conclude that the relationship between x and y is significant. Do not reject Ho. We conclude that the relationship between x and y is significant. O Reject Ho. We conclude that the relationship between x and y is significant. (e) Use the F test to test the hypotheses in part (d) at a 0.05 level of significance. Present the results in the analysis of variance table format. Set up the ANOVA table. (Round your values for MSE and F to two decimal places, and your p-value to three decimal places.) Source Sum Degrees of Variation of Squares of Freedom Regression Error Total Mean Square Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = State your condusion. O Reject Ho. We conclude that the relationship between x and y is significant. Reject Ho. We cannot conclude that the relationship between x and y is significant. Do not reject Ho. We cannot conclude that the relationship between x and y is significant. Do not reject Ho. We conclude that the relationship between x and y is significant. p-value