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**SSXY**is calculated by adding up x times y then subtracting the total of the x's times the total of the y's divided by n.

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Also to know is, how do I get SSxx?

Calculate average of your X variable. Calculate the difference between each X and the average X. Square the differences and add it all up. This is **SSxx**.

Likewise, how do you calculate SSR in statistics? First step: find the residuals. For each x-value in the sample, **compute** the fitted value or predicted value of y, using ˆyi = ˆβ0 + ˆβ1xi. Then subtract each fitted value from the corresponding actual, observed, value of yi. Squaring and summing these differences gives the **SSR**.

In this manner, what is SSxx in statistics?

**SSxx**. where SSxy is the “sum of squares” for each pair of observations x and y and **SSxx**. is the “sum of squares” for each x observation.

What does the sum of the residuals mean?

In statistics, the **residual sum** of squares (RSS), also known as the **sum** of squared **residuals** (SSR) or the **sum** of squared estimate of errors (SSE), is the **sum** of the squares of **residuals** (deviations predicted from actual empirical values of data). A small RSS indicates a tight fit of the model to the data.