Standard Error depicts the precision of regression analysis.
Adjusted R Square is R Square adjusted for a number of predictors in the case of multiple linear regression.In this case, 0.57=57% of y-values are explained by the x-values. It lies between 0 and 1, with a value close to 1 indicating that the model is a good fit. R Square is the Coefficient of Determination used as an indicator of goodness of fit.It lies between -1 and 1, and its absolute value depicts the relationship strength with a large value indicating a stronger relationship, a low value indicating negative and zero value indicating no relationship. Multiple R is the correlation coefficient that measures the strength of a linear relationship between two variables.
#Linear least squares regression excel download#
You can download this Linear Regression Excel Template here – Linear Regression Excel Template Method #1 – Scatter Chart with a Trendline