Answer Happy

x Use the following sample data for variables y and x to completo parts a through c. у 82 92 99 91 73 106 59 65 88 68 5 4 2 3 4 3 5 5 4 6 a. Develop a scatter plot for these data and describe what, if any, relationship exists. b. (1) Compute the correlation coefficient. (2) Tost to determine whether the correlation is significant at the significance level of 0. 10. Conduct this hypothesis test using the p-value approach. (3) Compute the regression equation based on these sample data and interpret the regression coefficients. c. Test the significance of the overall regression model using a significance level equal to 0.10. CERTOWE a. Choose the correct graph below. OC OD OA AY 1504 OB AY 150 150 AY 150- There appears to be linear relationship between x and y b. First compute the correlation coefficient. - (Round to throw decimal places as needed.)

Use the following sample data for variables y and x to complete parts a through у 82 92 99 91 73 106 59 65 88 68 5 4 2 3 4 3 5 5 4 6 a. Develop a scatter plot for these data and describe what, if any, relationship exists. b. (1) Compute the correlation coefficient. (2) Test to determine whether the correlation is significant at the significance level of 0.10. Conduct this hypothesis test using the p-value approach (3) Compute the regression equation based on these sample data and interpret the regression coefficients c. Test the significance of the overall regression model using a significance level equal to 0.10. Now test to determine whether the correlation is significant at the significance level of 0 10. First determine the null and alternative hypotheses that are to be tested O A. Ho: P0, Hp>0 OB. Ho: 250, Hp> C. HO POHO OD. H 220H:00 Now Identify the best statistic for the correlation - (Round to two decimal places as needed.) Now find the p-value D-valve - (Round to three decimal places as needed.)

Use the following sample data for variables y and x to complete parts a through c. y 82 92 99 91 73 106 59 65 88 68 х 5 4 2 3 4 3 5 5 4 6 a. Develop a scatter plot for these data and describe what, if any, relationship exists. b. (1) Compute the correlation coefficient. (2) Test to determine whether the correlation is significant at the significance level of 0.10 Conduct this hypothesis test using the p-value approach. (3) Compute the regression equation based on these sample data and interpret the regression coofficients c. Test the significance of the overall regression model using a significance level equal to 0.10. Determine the appropriate conclusion at the significance level of 0.40 Choose the correct answer below. O A Reject the null hypothesis. There is not sufficient evidence to conclude that the correlation is significant O B. Do not reject the null hypothesis. There is not sufficient evidence to conclude that the correlation is significant, O C. Roject the null hypothesis. There is sufficient evidence to conclude that the correlation is significant OD. Do not reject the null hypothesis. There is sufficient evidence to conclude that the correlation is significant. Compute the regression equation based on these sample data and interpret the regression coefficients Let x be the independent variable and determine the estimated regression equation for the predicted values oly (Round to two decimal places as needed.)

Which statement below best interprets the intercept? A. Since there is no point where x = 0, the intercept has no practical meaning OB. For each unit increase ing the value of x changes by the amount of the Intercept OC. The intercept is the estimated value ofy for x 0. OD. Since there is no point where y, the intercept has no practical meaning E For each unit increase in x, the value of changes by the amount of the intercept. OF. The intercept is the predicted value of y for x = 0

Which statement below best Interprets the slopo? O A The slope is the predicted value of y for x = 0, O B. For each unit increase in the value of x changes by the amount of the slope. ný, OC. For each unit increase in x, the value of ý changes by the amount of the slope. D. Since there is no point where y=0, the slope has no practical meaning O E. Since there is no point where x = 0, the slope has no practical meaning OF. The slope is the predicted value of x for yo. c. What are the appropriate hypotheses to test? O A. Ho: B0 OB H2,20 HAB0 HAP<0 Ос. Но , а 0 OD. Ho B, 50 HA HR>n

Use the following sample data for variables y and x to complete parts a through c. y 82 92 99 91 73 106 59 65 88 68 D X 5 4 2 3 4 3 5 5 4 6 a. Develop a scatter plot for these data and describe what, if any, relationship exists. b. (1) Compute the correlation coefficient. (2) Test to determine whether the correlation is significant at the significance level of 0.10. Conduct this hypothesis tost u the p-value approach (3) Compute the regression equation based on these sample data and interpret the regression coefficients. C. Test the significance of the overall regression model using a significance level equal to 0.10. GOED НА: Р<0 OD. H: B, 50 HA , > 0 OF H: 8,0 HAB,20 HAB.=0 OC, H B =0 НА: В, 10 OE Hoi, > 0 HAR, SO Calculate the simple linear regression test statistic :-(Round to two decimal places as needed.) Now find the p-value p-value - (Round to three decimal places as needed.) Since the p-value is than a useful help in predicting y the null hypothesis. Conclude that the regression model significant. This means that knowing X