The difference between these two parameters is the error of describing the data by means of linear regression instead of
Posted: Wed Jun 08, 2022 8:30 am
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,
Example. Consider the data from the previous problem:
We have
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
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,
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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