Sum of squares helps express the total variation that can be attributed to various predictors. The error sum of squares (SSE) is the sum of the squared residuals. In an ANOVA, Minitab …

The adjusted sum of squares is the amount of variation explained by a term, given all other terms in the model, regardless of the order that the terms enter the model.

The uncorrected sum of squares are calculated by squaring each value in the column, and then adding those squared values. For example, if the column contains x 1, x 2, ... , x n, then the …

Sum The sum is the total of all the data values. The sum is also used in statistical calculations, such as the mean and standard deviation.

Mean A commonly used measure of the center of a batch of numbers. The mean is also called the average. It is the sum of all observations divided by the number of (nonmissing) observations.

SS Between SS Between is the sum of squared deviations of subgroup means from the overall process mean.

You want to calculate the sum of these two columns in C3, and the product of the two columns in C4. You want Minitab to automatically recalculate C3 and C4 whenever the data change in …

The effect for a fixed term is represented by the sum of squares of the model components associated with that term divided by its degrees of freedom. Therefore, a high F-statistic …

The within-cluster sum of squares is a measure of the variability of the observations within each cluster. In general, a cluster that has a small sum of squares is more compact than a cluster …

Minitab breaks down the SS Regression or SS Treatments component into the amount of variation explained by each term using both the sequential sum of squares and adjusted sum …