Simple Linear Regression

Input Data

No	X	Y	Action

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Output Data

No	X	Y	X2	Y2	XY

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Ouput Calculation

Formula

$$\begin{aligned}\hat{Y} & = a + bX \\ \\ a & = \frac{(\sum{} Y_{i})(\sum{} Xi^{2})-(\sum{} X_{i})(\sum{} X_{i}Y_{i})}{n \sum{} X_{i}^2 - (\sum{} X_{i} )^2} \\ \\ b & = \frac{n (\sum{} X_{i} Y_{i}) - (\sum{} X_{i}) (\sum{} Y_{i})}{n \sum{} X_{i}^2 - (\sum{} X_{i})^2} \end{aligned}$$

Evaluation

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