![]() Note: The argument noprint in proc reg tells SAS not to print the entire output of regression results as it did in the previous step. code ( unique for each vehicle ) FUEL type of fuel used by the vehicle. Notice that only the RMSE value of 3.64093 is shown in the output. regression coefficients, B, is given by B ( X'X ) -1 X'Y, and the. Proc reg data=exam_data outest=outest noprint If you only want to view the RMSE of this model and none of the other output results, you can use the following code: /*fit simple linear regression model*/ Step 3: Extract RMSE from Regression Model Next, we’ll use proc reg to fit the simple linear regression model: /*fit simple linear regression model*/ Step 2: Fit the Simple Linear Regression Model The following code shows how to create this dataset in SAS: /*create dataset*/ We’ll to fit a simple linear regression model using hours as the predictor variable and score as the response variable. Step 1: Create the Dataįor this example, we’ll create a dataset that contains the total hours studied and final exam score for 15 students. The following step-by-step example shows how to calculate the RMSE for a simple linear regression model in SAS.
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