Question
Hi, based on the data set given below - Flight Passenger data -https://www.kaggle.com/datasets/ianalyticsgeek/flight-passangers-data CustId Cust_F_Name Cust_L_Name Cust_Age Cust_Gender Cust_Since Flying_From Flying_To Scheduled_Departure_From_Start_City Actual_Time_of_Departure Scheduled_Arrival_To_Destination Actual_Time_Of_Arrival
Hi,
based on the data set given below -
Flight Passenger data -https://www.kaggle.com/datasets/ianalyticsgeek/flight-passangers-data
| CustId | Cust_F_Name | Cust_L_Name | Cust_Age | Cust_Gender | Cust_Since | Flying_From | Flying_To | Scheduled_Departure_From_Start_City | Actual_Time_of_Departure | Scheduled_Arrival_To_Destination | Actual_Time_Of_Arrival | Date_Of_Booking | Time_Of_Booking | Seat_Allocated | Flight_Number | Stop_Over_1 | Break_in_Hours1 | Stop_Over_2 | Break_in_Hours2 | |
| 10001 | Manoj | Kumar | 42 | M | 2011 | Hyderabad | Delhi | May-09-2017 16:00:00 | May-09-2017 16:00:00 | May-09-2017 19:00:00 | May-09-2017 19:09:00 | 24-Apr-17 | 2017-04-24 5:40 | 37B | DB_6E112 | NA | 0 | NA | 0 | |
| 10002 | Manish | Kumar | 35 | M | 2015 | Kolkata | Mumbai | May-10-2017 11:00:00 | May-10-2017 11:00:00 | May-10-2017 14:00:00 | May-10-2017 14:12:00 | 19-Apr-17 | 2017-04-19 21:46 | 26A | IE_4A116 | NA | 0 | NA | 0 |
Could you please help me in framing the ONE-WAY ANOVE,MULTI-WAY ANOVA, and regression analysis questions? (Each one)
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Calculus Early Transcendentals
Authors: James Stewart, Daniel K. Clegg, Saleem Watson, Lothar Redlin
9th Edition
1337613924, 978-1337613927
