Question
pls, I need help with these questions, you can take your time on doing it. pls screenshot on the process you used with excel to
pls, I need help with these questions, you can take your time on doing it. pls screenshot on the process you used with excel to do it will help me to complete the rest of the assignment because I can only share 10 data input per row and I have 8k more to work on thanks.
(iv) Plot a scatter plot for attribute num_engs and height. What do you infer from this plot (any interesting findings)? (5 points) Hint: use Data ->Add-in Data Analysis ->histogram Define your bin width properly
(v) Compute the contingency matrix for the attributes phase_of_flt and time_of_day. Infer this contingency matrix based on the row proportion and column proportions. (4 points)
opid | operator | phase_of_flt | ac_mass | num_engs | time_of_day | state | height | speed | effect | sky | species |
BUS | BUSINESS | Climb | 2 | 2 | Day | MN | 180 | 125 | None | No Cloud | AMERICAN BLACK DUCK |
VJA | VALUJET | Climb | 4 | 2 | Night | LA | 600 | 180 | Engine Shut Down | No Cloud | AMERICAN COOT |
PVT | PRIVATELY OWNED | Approach | 1 | 1 | Night | WV | 1800 | 140 | None | No Cloud | AMERICAN COOT |
QXE | HORIZON AIR | Approach | 2 | 2 | Day | ID | 75 | 111 | None | Overcast | AMERICAN COOT |
PVT | PRIVATELY OWNED | Climb | 1 | 1 | Day | OH | 70 | 65 | None | No Cloud | AMERICAN CROW |
GAA | BUSINESS EXPRESS | Landing Roll | 3 | 2 | Day | NY | 0 | 90 | None | No Cloud | AMERICAN CROW |
AAL | AMERICAN AIRLINES | Landing Roll | 4 | 3 | Day | OH | 0 | 105 | None | No Cloud | AMERICAN CROW |
USA | US AIRWAYS | Landing Roll | 4 | 2 | Day | NY | 0 | 110 | None | No Cloud | AMERICAN CROW |
PVT | PRIVATELY OWNED | Approach | 1 | 2 | Day | TX | 300 | 110 | None | No Cloud | AMERICAN CROW |
COM | COMAIR AIRLINES | Climb | 3 | 2 | Day | DC | 30 | 120 | None | No Cloud | AMERICAN CROW |
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