How to Do Residuals in Excel. Linear regression models predict the outcome of one variable based on the value of another, correlated variable. Excel 2013 can compare this data to determine the ...

A graphical plot of your residuals is an important diagnostic of how well your data fits your predictive model. Your regression may have a high r-square value or high correlation, but the residual ...

Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...

The normal quantile-quantile (Q-Q) plot of residuals is a popular diagnostic tool for ordinary linear regression with normal errors. However, for some generalized linear regression models, the ...

Understanding the Residual Sum of Squares (RSS) In general terms, the sum of squares is a statistical technique used in regression analysis to determine the dispersion of data points. In a ...

A general discussion is given of the approximate distribution of the residual sum of squares in a linear model in which a weighted analysis is made with weights estimated empirically as the ...