// File New-Lec2-01-01-01-01.txt.


//  Lab Specs
//    Title
        Best_Fitting_Line


//  Problem Specs
//    xyz x = Is ML radiobutton not visible (-1 if yes 0 if no)
//        y = Is OLS radiobutton not visible (-1 if yes 0 if no)
//        z = Default 0 OLS or 1 ML
//    Is Go button visible (-1 yes  0 no)
//    Allow data edit (-1 yes 0 no)
//    Constant only (0 not visible and unchecked, 1 visible and unchecked, -1 visible and checked)
//    x y points


` 000 0 0 0 5_66_15_87_25_90
Objective: Show that the equations for the OLS estimates minimize the sum of squared
 residuals.
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Data from Professor Lord's first quiz are specified. 

` 000 -1 0 0 5_66_15_87_25_90
1. Click Go. The constant and coefficient are the OLS estimates, 63 and 1.2. What is the SSR?
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2. Can you reduce the SSR by using the sliders change the values of the constant and coefficient?