Calculate Least Squares Regression Line by Hand
Least squares regression line is a fundamental concept in statistics, used to find the best-fit straight line through a set of data points. Calculating it by hand is an essential skill for understanding the underlying mathematics and logic.
- Enter comma-separated X and Y values in the respective input fields.
- Click ‘Calculate’.
- View the results below the calculator.
The formula for the least squares regression line is:
b = [(ΣXY) – (n * ΣX * ΣY) / (ΣX^2 – n * (ΣX)^2)]
a = (ΣY – b * ΣX) / n
| X | Y |
|---|---|
| 1 | 2 |
| ΣX | ΣY | ΣXY | ΣX^2 |
|---|---|---|---|
| 5 | 11 | 35 | 29 |
- Always check the assumptions of linear regression before using it.
- Consider using a logarithmic or exponential transformation if the data is not linear.
What are the assumptions of linear regression?
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