{iv} Use a similar procedure as used in lab 4 to nd $311713;I (Standard Error for an Individual} for each of the 3 locations. To nd the SUEZ;r you must rst add 3 rows to your data table and include the values of median income and number of competitors. Next, once again go to Fit the model as you did is step [2). Ciick on the red arrow next to Response in the Fit Model output. Click on Save Columns and select Std Error of Individual. location 1 location 2 location 3 Which of the 3 locations would you choose if your goal was to improve the precision of your predictions? Write out the 98% prediction interval for the sales per square foot at each location. Once you have the standard error, the formula for the prediction interval is the same as for simple linear regression: g} :l: ESEg. Use the error degrees of freedom to nd the t* value. DF = n p 1. Here 3: is the number of slopes in the regression model. location 1 location 2 location 3