The difference between these two parameters is the error of describing the data by means of linear regression instead of

[answerhappygod]

The difference between these two parameters is the error of
describing the data by means of linear regression instead of just
using the average to describe the y's. In regression via least
squares, we have that St≥Sr (why?). In this way,

The Difference Between These Two Parameters Is The Error Of Describing The Data By Means Of Linear Regression Instead Of 1 (1.02 KiB) Viewed 45 times

Example. Consider the data from the previous problem:

The Difference Between These Two Parameters Is The Error Of Describing The Data By Means Of Linear Regression Instead Of 2 (17.52 KiB) Viewed 45 times

We have

The Difference Between These Two Parameters Is The Error Of Describing The Data By Means Of Linear Regression Instead Of 3 (6.08 KiB) Viewed 45 times

Note: The answer in green color is correct, I want the
correct answer of the sections marked in red
7-² St-S, St

Example. Consider the data from the previous problem: -8 8 0 5.5 -6.1 -6.9 9 60 Y 11.8 -21.2 43.5 51 -47.8 50 Figure. Fitting the line to the data. 10

S₁ = St = p² = 6.0078 6.0078 0.9961