Airport Linear Regression AnalysisResources Travelers are often delayed at the airport. Delays are measured by every airline, and the information is reported to the Federal Aviation Administration. Certain airports perform better than others. The data set in the file linked in Resources contains data about late arrivals and late departures at 13 airports. You will need to use linear regression to determine whether there is a positive linear relationship between late arrivals and late departures. The level of significance is set at 5% (alpha = 0.05). For this assignment, complete the following: Download the data file found under Resources. Evaluate the null and alternate hypothesis to test whether a significant relationship exists between late arrivals and late departures. Evaluate the linear regression analysis, and interpret results. Evaluate a visual inspection of the residuals for evidence supporting the normality and linearity assumptions, and interpret results. Prepare and submit a single Word document in APA format covering your analysis in detail, including the following: Null and alternate hypothesis formulations. Required tables and figures. Your findings and conclusions, with statistical justification.