Free online Sxx calculator – Calculate the Sxx values for linear regression with our efficient and user-friendly calculator. Get accurate results for your statistical analysis.

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## Formula for Sxx in linear regression

In linear regression, the formula for calculating the sum of squares of the date set (Sxx) is:

**Sxx = Σ(xi – x̄)²**

- Sxx = Sum of squared deviations from the mean of x
- Xi = Each individual value
- x̄ = Mean (average) of x

## How to calculate Sxx in statistics

To calculate Sxx (the sum of squares of the x value) in linear regression, you need the following steps:

Step 1: Calculate the mean (average) of the x:

- Add up all the individual values of the x.
- Divide the sum (x1 +x2 +x3 …..xn) by the total number of values (xn).

Step 2: For each individual value of the x, subtract the mean and square the result:

- Take each value of the x(let’s call it xi).
- Subtract the mean (x̄) from xi.
- Square the result obtained.

Step 3: Add all the squared differences obtained from Step 2:

- Add the squared differences

The final result will be the sum of squares of the x values (Sxx).

## FAQ

### What is Sxx in linear regression?

In the context of linear regression, “Sxx” refers to the sum of squared deviations of the independent variable (X) from its mean.

### What is the equation for Sxx in statistics?

The equation for calculating Sxx depends on a sample of the date.

Sxx = Σ(xi – x̄)^2