Please help with the attached Memorandum - Thank you
MEMO EXAMPLE DATA
1 – Airline Arrival Study
A random sample of 444 flights from LAX to JFK in one year. The flight distance is 2475 miles.
Numerical Variable of Interest:
ArrDelay = arrival delay in minutes
where “-“ values are early arrivals (in minutes), “0” values are “on time” arrivals and “+” values are late arrivals (in minutes).
Numerical Predictor Variable:
DepDelay = departure delay in minutes
Categorical Breakdown Variable:
Carrier = airline used
where “1” = American Airlines , “0”= United Airlines
Categorical Variable of Interest:
Time = time of departure (A.M., P.M.)
| Source: | |||||||||||||
| Filtered data from RITA: (http://www.transtats.bts.gov/DL_SelectFields.asp?Table_ID=236&DB_Short_Name=On-Time) | |||||||||||||
| HTML link: | |||||||||||||
| <A href="http://www.statcrunch.com/5.0/index.php?dataid=637701">LAX-JFK_AA & UA flights 6-2012</A> | |||||||||||||
You are going to work with this DATA
5 – American Community Survey
A random sample of 249 responses to the American Community Survey.
Numerical Variable of Interest:
WorkInc = work income in thousands of dollars (k)
Numerical Predictor Variable:
HrsWorked = hours worked per week
Categorical Breakdown Variable:
Gender = gender of respondent
where “1” = Male , “0”= Female
Categorical Variable of Interest:
HowComm = most typical method of commuting to work (bus, car, subway/rail, taxi, other, works at
home, not applicable)
| Source: | US Dept. of Commerce |
