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find the R2 value in a multiple regression model
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R 2 = 1 − sum squared regression (SSR) total sum of squares (SST) , = 1 − ∑ ( y i − y i ^ ) 2 ∑ ( y i − y ¯ ) 2 . The sum squared regression is the sum of the residuals squared, and the total sum of squares is the sum of the distance the data is away from the mean all squared.
I think its this but im not sure
@supie
aiden what happen to your other post?
@oliver69
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