For this assignment, you will use the attached dataset, Airlines_Week_1. You will read the file into SAS and conduct a multiple linear regression analysis.
The following steps are necessary to complete this assignment:
1. Read an Excel file into SAS and list the contents of the SAS dataset (Use Proc Contents). Note that there are no missing values in the dataset.
2. Variable I is the airline ID, T is the year, Q is the output in revenue passenger miles, C is the total cost in $1,000, PF is the fuel price, and LF is the load factor, which is the average capacity utilization of the fleet. For this assignment, ignore variables I and T. Your objective is to explore the relationship between the dependent variable Log(C) and the independent variables Log(Q), Log(PF), and LF. Note that Log represents the Log function. To accomplish this, you may want to proceed as per the following steps:
a. Use Proc Corr to get the pairwise correlation coefficients between the variables.
b. Use Proc Plot to construct pairwise scatter plots to study the nature of the relationship between the dependent variable and the independent variables.
c. Use Proc Reg to run a multiple linear regression model.
The expert reads a file into SAS and conducts a multiple linear regression analysis.