Following is summary information on bivariate quantitative data that is used for regression analysis. n = 12 = 5940 = 548 ? = 3, 211, 546 2 = 26, 592 y = 287, 908 (a) Find the means and standard deviations of the variables. (b) Determine the regression line to predict y given x. (c) Find and interpret the value of r. (d) Is the population correlation coefficient p significantly positive? Be sure to specify the appro- priate hypothesis, compute and report the test statistic value and the P-value. (e) Find a 99% confidence interval for p. (f) Determine if the slope is significantly different from zero. Be sure to specify the appropriate hypothesis, compute and report the test statistic value and the P-value. (g) Find a 99% confidence interval for the population slope coefficient. (h) Find a 99% prediction interval estimate of y when x = 54.