For the 23 space shuttle flights that occurred before the Challenger mission disaster in 1986, the data table below shows the temperature (F) at the time of the flight and whether at least one primary O-ring suffered thermal distress.

See data under question 16 in attached image:

Multiple Regression 143 (a) Show the complete SPSS lines for forcing in precip, education, and nonwhite, and then determining whether either NOx or SO2 is significant. Obtain the casewise statistics and the scatterplot of the residuals vs the predicted values. Put DATA LINES for the data. 16. For the 23 space shuttle flights that occurred before the Challenger mission disas- ter in 1986, the table below shows the temperature (F) at the time of the flight and whether at least one primary O-ring suffered thermal distress. Temp TD Ft Ft Temp TD Ft Temp TD 1 66 N 70 69 OHO 9 57 17 70 10 63 18 81 11 70 19 76 68 0 12 78 0 20 79 67 13 67 21 75 72 14 53 O 22 76 HOOOO 73 15 67 23 58 70 16 75 OOH Note: Ft = flight no., Temp = temperature, TD = thermal distress (1 = yes, 0 = no). Source: Data based on Table 1 in S. R. Dalal, E. B. Fowlkes, and B. Hoadley. J. Amer. Statist. Assoc, 84: 945-957 (1989). Reprinted with permission of the American Statistical Association. (a) Use logistic regression to determine the effect of temperature on the probabil- ity of thermal distress. (b) Calculate the predicted probability of thermal distress at 319, the temperature at the time of the Challenger flight. 17. From one of the better journals in your content area within the last 5 years find an article that used multiple regression. Answer the following questions: (a) Did the authors talk about checking the assumptions for regression? (b) Did the authors report an adjusted squared multiple correlation? (c) Did the authors talk about checking for outliers and/or influential points? (d) Did the authors say anything about validating their equation? 18. Consider the following data: X1 X2 14 21 17 23 36 10 32 18 25 12 Find the Mahalanobis distance for subject 4. 19. Using SPSS, run backward selection on the National Academy of Sciences data. What model is selected