Inference for the multiple logistic regression model. Refer to the previous exercise. (a) Describe and interpret the significance test that tests the null hypothesis that all regression coefficients are zero. (b) Using the information provided in the output in Figure 14.11, calculate and interpret the 95% confidence interval for each of the regression slopes. (c) Describe and interpret the results of the significance test for each regression slope. Be sure to give the null and alternative hypotheses, the test statistic, and the P-value with your conclusion.
Lecture 08/30/17 → Chapter 2: Graphs and Descriptive Statistics ← Listed Form: 3,4,7,9,10,10,10,14,15,17,17,19,20,20,20 Grouped (Frequency) Form: 3 | 1 4 | 1 7 | 1 9 | 1 10 | 3 14 | 1 15 | 1 17 | 2 19 | 1 20 | 3 ———— 15 Interval (Frequency) Form: Class: 3-9 10-16 17-23 LCL - UCL Lower Class Limit - Upper Class Limit LCB = LCL - tol/2 UCB = UCL + tol/2 Class Width: Length + 1 of the class so 7-7-7 Class Midpoint = (UCL + LCL)/2 9+3 = 12/2 = 6 10 + 16 = 26/2 = 13 17 + 23 = 40/2 = 20 Frequency: 4 5 6 —— 15 Sigma = Sum Ef = 15 = n (Sample Size) Tolerance = LCL of next class - UCL of previous class. Relative frequency = F/total f Symmetric = Bell-shaped Left-Shewed = left bell Right-Shewed = right bell Outliers = data that don’t ac
