**For regression, use stat-regression-fitted line plot. A flight is considered "delayed" if it is delayed by more than 15 minutes. Use the minitab file to answer the following questions: 1. What is the correlation between "flight delay in min" and "total scheduled flight time"? Do they have a strong correlation? 2. Does "total scheduled flight time" significantly affect "flight delay in min"? If so, if f light A 's scheduled flight time is 10 minutes longer than flight B's, is flight A expected to delay more or less than flight B? by how much? 3. Does "total scheduled flight time" significantly affect whether a flight is "delayed"? 4. Does "departure airport" significantly affect "flight delay in min"? 5. Does "time of arrival" significantly affect whether a flight is "delayed"? Attached is a minitab file already completed. I do not need you to walk me through how to do the task in Minitab. All I want you to do is answer the questions asked in #4

Result for Task 4 Means Method departure 95% airport N Mean StDey Cl Null All means hypothesis are equal EWR 10 31.07 17.92 (20.54, 41.60) Alternative Not all hypothesis means are JFK 10 32.97 11.41 (22.44, equal 43.50) Significance a = 0.05 LAX 9 38.49 19.58 (27.39, level 49.59) Equal variances were assumed for the analysis. PHL 10 34.44 20.42 (23.91, 44.97) Factor Information SFO 11 30.69 11.92 (20.65, Factor Levels Values 40.73) departure 5 EWR, JFK, Pooled StDey = 16.5322 airport LAX, PHL, SFO Interval Plot of delay in min vs departure airport 95% CI for the Mean 50 Analysis of Variance Adj F- P- Source DFAdj SS MS Value Value 40 departure 4 381.1 95.29 0.35 0.844 delay in min 35 airport Error 45 12299.1 273.31 30 Total 49 12680.2 25 20 Model Summary EWR JFK LAX PHIL SFO departure airport R- R- The pooled standard deviation is used to calculate the intervals. S R-sq sq(adj) sq(pred) 16.5322 3.01% 0.00% 0.00%