The problem is stated as: A news headline states “a recent study found that the
ID: 2921446 • Letter: T
Question
The problem is stated as:
A news headline states “a recent study found that the financial performance of an airline seems to be related to the time it takes for passengers to receive their baggage.” Discuss the hypothesis that they might have used and write another one that could show this to be incorrect.
I posted the following:
The null hypothesis (H0 would be < >. H0 :R0 < > P = kT, (where the financial performance and time to receive the baggage are proportional to each other. P is financial performance, k is the proportional constant and T is the time to receive the baggage. Shown by equal sign.
The alternate hypothesis (Ha would be < >. Ha :Ra < > P =/ kT, (where the financial performance and time to receive the baggage are not proportional to each other. P is financial performance, k is the proportional constant and T is the time to receive the baggage. Shown by equal sign.
I recieved feed back from the professor that was not correct and needed to be along the lines of the following:
I see you are using both leading and lagging variables in your model. Leading variables move ahead of the cycle (e.g. baggage wait (not weight) time, whereas lagging variables trail behind the cycle, such as financials, which are accrued.
Think about what you are trying to predict. The prompt was about baggage wait time (not financials). The DV is what you are trying to predict. Therefore the DV must be baggage wait time. Financial results of a company would not predict baggage wait time because the direction between lag and lead are incorrectly positioned in your model.
Let's move forward with baggage wait time is the DV and ask "what variables would influence baggage wait time?"
Consider the following IVs: number of ramp personnel, air port traffic, passenger loads, freight loads, weather conditions, reliability in automated baggage handling, Homeland Security Threat Level, international v. domestic flights, ...
DV = b(IV) + c wait time = b(number of ramp personnel) + c
My question is what should the equations be then if I used airport arrival delays instead of the number of ramp personal. I'm a little confused by what he is asking.
Explanation / Answer
We have DV=b(Number of ramp personnel) + c, and we check b=0 or not to find the signicance of number of ramp personnel affecting the DV
If instead we want to use airport arrival delays, we would use
DV = d.Airport arrival delay + e, and check if d is different from 0 or not
Once we predict baggage wait time, we can see its influence on the financial performance of the airline
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.