I'm trying to find out the formula for SXX. Could someone please tell me what it is?
6 answers
Riccardo
Fri Dec 13 2024
The term ˆ2 - SSe represents the residual sum of squares, which is the sum of the squared differences between the observed Y values and the predicted Y values from the regression line.
CryptoWizard
Fri Dec 13 2024
In statistical analysis, SYY is used to denote the total sum of squares, which is the summation of the squared differences between each Y value and the mean of Y, represented as ∑(Y − Y̅)².
Isabella
Fri Dec 13 2024
These calculations are fundamental in understanding the relationship between two variables and the strength of the linear relationship they share.
Tommaso
Fri Dec 13 2024
The formula for SXX is represented as the summation of the squared differences between each X value and the mean of X, denoted as ∑(X − X̅)².
Silvia
Fri Dec 13 2024
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