Introductory Statistics

# Formula Review

### 12.1Linear Equations

y = a + bx where a is the y-intercept and b is the slope. The variable x is the independent variable and y is the dependent variable.

### 12.4Testing the Significance of the Correlation Coefficient

Least Squares Line or Line of Best Fit:

$y ^ =a+bx y ^ =a+bx$

where

a = y-intercept

b = slope

Standard deviation of the residuals:

$s= SEE n−2 . s= SEE n−2 .$

where

SSE = sum of squared errors

n = the number of data points