1. Conduct a multiple regression on four or five variables of your choice. Look through the NELS data and find a variable you are interested in explaining. Pick several independent variables you think...

1. Conduct a multiple regression on four or five variables of your choice. Look through the NELS data and find a variable you are interested in explaining. Pick several independent variables you think may help in explaining this dependent variable. Examine descriptive statistics for these variables and frequencies for variables with a limited number of response options to make sure you understand their scales. Clean up the data as needed; that is, make sure the variables are coded in the proper order and that missing values are dealt with properly (e.g., “Don’t know” responses are coded as missing, rather than as a value that will be analyzed). Conduct the multiple regression and interpret the results. Are there any threats to your analysis and interpretation (e.g., neglected likely common causes)?