Linear Regression

[jlima22]

Part of my assignment reads as follows: 

Your goal is to create a regression model that can predict the income based on age in years. 

1. Create a scatter plot for age vs. income.
   1. I believe I have done this. 
2. Fit a linear regression model in SAS
3. How good is the overall fit of the income determination model? (Use both R2 as well as the F statistics to justify your answer.)
4. Compute the predicted income for a 27-year-old individual.

The second part of the assignment is giving me a hard time. I'm using the Linear Regression task but I'm confused as to how to set it up. Would age or income be the dependent variable? Would the remaining variable then be used as the classification variable/intercept?

 Any help would be greatly appreciated! 

[mkeintz]

predict the income based on age

One of these variables is the predictor, one the "predictee".  Which is which should be evident from the quoted phrase above.

Google "dependent variable" and you will likely have started your road to understanding regression.

[PaigeMiller]

In addition to what @mkeintz said, there are no CLASS variables here, there are only continuous variables, so if you include CLASS variables in your model, you get gibberish. So please look up what a CLASS variable is and is not.

[STAT_Kathleen]

The INCOME variable is the dependent variable and AGE is the independent variable. So if you want to use PROC REG to estimate a linear regression model. For example,
/* syntax for linear regression model, provide parameter estimates, creates output data set with predicted observations */
PROC REG DATA=YOURDATA;
MODEL INCOME=AGE;
OUTPUT OUT=OUT P=PREDINC;
QUIT;

/* provides output data set with the predicted observations */
PROC PRINT DATA=OUT;
RUN;