Airfare Project This is an individual project worth a total of 50 points. You must submit your own work in order to get
Posted: Thu Jun 09, 2022 3:52 pm
Airfare Project
This is an individual project worth a total of 50 points. You must
submit your own work in order to get
any credit. It is ok (and actually strongly recommended) that you
use StatCrunch, or some other
computer software, to create the graphs and simplify the
calculations. Your report should include your
tables, graphs, statistics and answers to all the questions.
You and your friends decide to take a weeklong trip to somewhere in
the U.S. this summer to celebrate
the end of the school year (pick some dates in June, July or
August). In the table below you will find a list
of eight different destinations for your trip. Be sure to use these
destinations in your analysis. You also
need to pick two more destinations where you would like to travel
(your choice!). So you should have
data for 10 different trips.
You need to collect some data online to find the distance between
your departure point and each
destination, as well as the cost of roundtrip airfare (observed
cost) for each trip. You do not need to
factor in driving distance or cost to get to your departure point –
only include the flight distance and
cost of airfare for each trip.
Include the following information in your report.
Departure Point (somewhere close to your hometown): ___BILLINGS
MONTATA____
Dates: Leave _______________ Return _______________
Destination Distance (miles) Observed Cost
(dollars)
Orlando, FL
San Diego, CA
Las Vegas, NV
Honolulu, HI
New Orleans, LA
Seattle, WA
Boston, MA
Nashville, TN
Destination of your choice:
Destination of your choice:
1. Create a fitted line plot relating distance (x) to cost (y).
Based on your plot, comment on the
relationship between the two variables. Are there any potential
outliers or influential points?
2. Find the value of the correlation coefficient, r. Does this
value indicate a strong or weak
correlation?
3. Use the results of the hypothesis test to determine if the
linear correlation is significant. Be
sure to state your hypotheses and p-value, and write out your
conclusion.
4. Determine the equation of the regression line. Describe the
slope and the y-intercept of the line in
the context of distance and cost.
5. Predict the cost of flying to each destination based on the
distances from your original data.
Then calculate the residuals for each data point.
Destination Distance (miles) Observed Cost
(dollars)
Predicted Cost
(dollars)
Residual
Orlando, FL
San Diego, CA
Las Vegas, NV
Honolulu, HI
New Orleans, LA
Seattle, WA
Boston, MA
Nashville, TN
Destination of your choice:
Destination of your choice:
6. Based on your findings, determine the trip that gives you the
best deal. Write a persuasive
paragraph to convince your friends to take the trip you have
chosen.
This is an individual project worth a total of 50 points. You must
submit your own work in order to get
any credit. It is ok (and actually strongly recommended) that you
use StatCrunch, or some other
computer software, to create the graphs and simplify the
calculations. Your report should include your
tables, graphs, statistics and answers to all the questions.
You and your friends decide to take a weeklong trip to somewhere in
the U.S. this summer to celebrate
the end of the school year (pick some dates in June, July or
August). In the table below you will find a list
of eight different destinations for your trip. Be sure to use these
destinations in your analysis. You also
need to pick two more destinations where you would like to travel
(your choice!). So you should have
data for 10 different trips.
You need to collect some data online to find the distance between
your departure point and each
destination, as well as the cost of roundtrip airfare (observed
cost) for each trip. You do not need to
factor in driving distance or cost to get to your departure point –
only include the flight distance and
cost of airfare for each trip.
Include the following information in your report.
Departure Point (somewhere close to your hometown): ___BILLINGS
MONTATA____
Dates: Leave _______________ Return _______________
Destination Distance (miles) Observed Cost
(dollars)
Orlando, FL
San Diego, CA
Las Vegas, NV
Honolulu, HI
New Orleans, LA
Seattle, WA
Boston, MA
Nashville, TN
Destination of your choice:
Destination of your choice:
1. Create a fitted line plot relating distance (x) to cost (y).
Based on your plot, comment on the
relationship between the two variables. Are there any potential
outliers or influential points?
2. Find the value of the correlation coefficient, r. Does this
value indicate a strong or weak
correlation?
3. Use the results of the hypothesis test to determine if the
linear correlation is significant. Be
sure to state your hypotheses and p-value, and write out your
conclusion.
4. Determine the equation of the regression line. Describe the
slope and the y-intercept of the line in
the context of distance and cost.
5. Predict the cost of flying to each destination based on the
distances from your original data.
Then calculate the residuals for each data point.
Destination Distance (miles) Observed Cost
(dollars)
Predicted Cost
(dollars)
Residual
Orlando, FL
San Diego, CA
Las Vegas, NV
Honolulu, HI
New Orleans, LA
Seattle, WA
Boston, MA
Nashville, TN
Destination of your choice:
Destination of your choice:
6. Based on your findings, determine the trip that gives you the
best deal. Write a persuasive
paragraph to convince your friends to take the trip you have
chosen.