Quantitative research involves the analysis of data. Often there are databases available or government data available for free on the internet.

In addition to data for all U.S. carriers collect the same data of a single U.S. airline, clean the data, and calculate the same summary statistics for the particular airline you selected.Create a scatter plot for all of the US airline data with revenue passenger miles on the y-axis and load factor on the x-axis. Do the same for the individual airline you have selected. Make sure your scatter plot includes a title of the plot, labels the x and y-axis with appropriate titles, and uses appropriate scales for each axis (refer to your textbooks for examples).After completing the above items, prepare a brief (three to four paragraph) discussion of the summary statistics, perceived relation between load factor and revenue passenger miles (if any), how your selected airline appears to be performing relative to the industry, and any other information you can glean from the data collected. Your write-up should also include a brief discussion identifying where the data was obtained from. Ensure sources are cited and formatted in accordance with current APA format. This assignment is intended to get you to start thinking about what your data may or may not be telling you. Certainly, this early in the term we have not discussed the tools necessary to draw strong inferences. However, there are items which may appear to be apparent that can be discussed.Be sure to include summary tables of summary statistics, the scatterplots, and the excel spreadsheet with the data in addition to the brief write-up. When you submit your assignment, use the following naming convention:  

I choose Jetblue Airline company. Also I need file that you used for this question. 

I need it by tonight. Let me know if you can finish this by tonight.