Linear Regression in R and SPSS

1. Data files for SPSS and for R: Predicting Album Sales - linear regression models and scatterplots in R and in SPSS.

   Up and Running with R by Barton Poulson.

   SPSS Statistics Essential Training from lynda.uni.edu, which you login to with your UNI Cat ID.

   1. See 7. Charts for Associations: 7.6. Scatterplots
   2. See 8. Statistics for Associations 8.2. Multiple regression.

   What to turn in for the assignment:
   
     1. Using the AlbumSales.csv file and 
        the R stat software through RStudio, you will produce 4 scatterplots. 
   
        There are 4 independent variables and 1 dependent variable.
        Investigate visually the relationship of each IV with the DV.
   
        You will do the regression in R using the 4 IVs and the 1 DV.
   
        If you need to review the R, go to lynda.uni.edu and use the
        Up and Running with R video tutorial set.
        
        5. Charts for Associations 
           5.2. Creating scatterplots      4m 15s
   
        6. Statistics for Associations
           6.2. Computing a regression     6m 33s
        
     2. Using the AlbumSales.sav SPSS data set and SPSS software,
        produce the 4 different scatterplots (Each IV with the DV).
        At the FIT line for the LINEAR best fitting regression line
        to each of your scatterplot charts.
   
        Run the SPSS Regression with the 4 IVs and the 1 DV.
        You do NOT need to do anything except choose the 4 IVs and the 1 DV.
        You will just use the DEFAULTS in the Regression dialogue.
   
        It is set to ENTER.   That is the default.
   
        I mentioned STEPWISE and BACKWARD and FORWARD methods in class
        just to see who has heard of those and to preview what we will
        get to 8 or so weeks from now, probably sometime in NOVEMBER!
   
   

   Chapter 12: Graphics - The plot() function: The Art of R Programming: A Tour of Statistical Software Design ... UNI library online book.