Being able to make conclusions about data trends is one of the most important steps in both business and science. Through the magic of least sums regression, and with a few simple equations, we can ...

Calculating a Least Squares Regression Line: Equation, Example, Explanation If you want a simple explanation of how to calculate and draw a line of best fit through your data, read on!

The least-squares method of cost estimation involves using mathematical regression techniques to calculate the slope and intercept of the best-fit line for the costs used in estimation.

The sum of squares is a statistical measure used in regression analysis. Learn how to calculate the sum of squares and when to use it.

Reduced Rank Regression As discussed in the preceding sections, partial least squares depends on selecting factors t = Xw of the predictors and u = Yq of the responses that have maximum covariance, ...

Log-linear least-squares method A statistical technique for fitting a curve to a set of data points. One of the variables is transformed by taking its logarithm, and then a straight line is fitted ...

The residual sum of squares (RSS) is a statistical technique used to measure the variance in a data set that is not explained by the regression model.

Linear Regression with Non-Constant, Unknown Error Variances: Sampling Experiments with Least Squares, Weighted Least Squares and Maximum Likelihood Estimators ...