Use the following values for a simple linear regression. Do not round intermediate steps. Express final answers to four decimal places. n = 30 x = 6.2 [x = 186 x2 = 3500 Sx = 8.995785 MSE = 85.5013 [xy = -2322 y = 0.9 [y = 27 y2 = 5059 Sy = 13.176128 SSR = 2640.6649 What is the coefficient of correlation between x and y? What is the test statistic for testing if p = 0? What is the p-value for testing if p = 0? If x is the predictor, what is the estimated regression equation? Source SS df MS VR Factor Error Total Coefficients SE of Coef t Stat P-value Intercept 1.287435178 87.24063 4.21E-25 X What is the standard error of bi? What is the test statistic for testing if B1 = 0? What is the p-value for testing if B1 = 0? What is test statistic of the ANOVA test? Suppose that the estimated regression equation was y = 10 - 2x, which of the following would be the bestIf x is the predictor, what is the estimated regression equation? Source 55 df MS VR Factor Error Total Coefcients SE of Coef t Stat P-val'ue Intercept 1.287435178 87.24063 4.21E-25 X What is the standard error of b1? What is the test statistic for testing if [31 = 0? What is the p-value for testing if 81 = 0? What is test statistic of the ANOVA test? Suppose that the estimated regression equation was 37 = 10 2x, which of the following would be the M interpretation? a) For every increase of 2 in the predictor, the response increases by 10, starting at 10. b) For every increase of 1 in the predictor, the response decreases by 2. c) For every increase of 1 in the predictor, the response increases 2, starting at 10. d) For every increase of 1 in the predictor, the response decreases by 2, starting at 10. e) For every increase of 2 in the predictor, the response decreases by 10, starting at -2. 1') For every increase of 1 in the predictor, the response increases 2. g) None of these