3. Does "total scheduled flight time" significantly affect whether a flight is "delayed"?

Minitab Result for question #3 Odds Ratio 95% CI Method Fits and Diagnostics for Unusual Observations total 1.0315 (1.0061. Link Observed Std Logit scheduled 1.0575) function Obs Probability Fit Resid Resid flight time Rows 40 0.0000 0.9408 - 50 -2.43 R 2.3777 used Model Summary B Larga residual Area Response Information Under Paste with Copilot (Ctrl) Variable Value Count Deviance Deviance ROC R-Sq R-Sqladj) AIC BIGG BIC Curve delayed? delayed 42 (Event) 28.019% 25.7496 35.65 35.91 39.47 0.8631 not delayed Total 50 Goodness-of-Fit Tests Chi- Test DF Square Value Regression Equation Deviance 48 31.65 0.967 P(delayed) = exp(Y]/1 + exp[Y")) Pearson 48 37.05 0.874 -2.37 + 0.0310 total scheduled flight time Hosmer- 8 6.91 0.546 Coefficients Analysis of Variance SE Z- Term Goef Goef Value Value VIF Wald Test Constant -2.37 1.43 -1.66 0.097 Chi- P- Source DF Square Value total 0.03100.01272.44 0.015 1.00 scheduled Regression 1 5.97 0.015 flight time total 1 5.97 0.015 scheduled flight time Odds Ratios for Continuous Predictors