For this exercise, you will use the SPSS sample file called customer_ dbase.sav. This database is composed of 5,000 cases and 132 variables. You will select the first 10 scale variables and search for underlying latent variables (factors) within these variables. The idea is that you must explore the data in an attempt to reduce the 10 variables into smaller clusters, referred to as components in principle component factor analysis. Write the null and alternative hypotheses, open the database, select the correct statistical approach, and search for any underlying latent factors in the first 10 scale variables.