Using the dataset entitled "sleep", complete the following. Note, if you are using SPSS you will select the file sleep.sav; if you are using Microsoft Excel you will use the datafile sleep_data.xls. Procedure: For the below analysis, you will be using "totSAS" for your dependent variable (Sleepiness), and "sex", "age", "fitrate" and "depress", as the independent variables from the survey dataset. Part 1: Run the Standard Multiple Regression Model Using the above five variables, run a standard multiple regression in either SPSS or Excel. Copy and paste the results into a Word document. Part 2: Determine Model Fit Looking at the correlation table, determine if any variables should be excluded due to high correlation factors. Make sure the table is copy and pasted into the Word document and your interpretation. Looking at the VIF coefficient, determine if collinearity is an issue with the model. Report the VIF coefficient and your interpretation in the Word document. Report the R value and interpret the results. Part 3: Testing for Significance Evaluate each independent variable's coefficient and determine which are statically significant. Interpret the results for each independent variable. link to sleep- https://docs.google.com/file/d/1ht8vs7TRcrJLldoiwfA-bv7af1hb0RDI/edit?usp=docslist_api&filetype=msexcel

Pallant, Julie (2020). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS (7th edition). McGraw Hill