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education/statistics/Correlation and Regression.md
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@ -103,7 +103,7 @@ $$ \hat{y} = \frac{x-\bar{x}}{\sigma_x} * r * \sigma_y + \bar{y} $$
(Ch 12, stat 1040) (Ch 12, stat 1040)
Predicting a y value for a given x value can be calculated when given the regression equation. Predicting a y value for a given x value can be calculated when given the regression equation.
$$ y = mx + b $$ $$ y = mx + b $$
Where $y$ is the predicted value, $m$ is the slope, x is the given val and the $b$ is the intercept. Where $y$ is the predicted value, $m$ is the slope, $x$ is the given value and the $b$ is the intercept.
$$ slope = \frac{r * \sigma_y}{\sigma_x} $$ $$ slope = \frac{r * \sigma_y}{\sigma_x} $$
### The Regression Effect ### The Regression Effect