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Ap Stats Unit 2 - Coggle Diagram
Ap Stats Unit 2
Correlation
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How to calculate correlation 
LSRL
Linear regression is a statistical method used to model the linear relationship between a dependent variable (response variable) and one or more independent variables (explanatory variables).
Least squares regression line is a specific type of linear regression model that is used to minimize the sum of the squared differences between the observed values of the dependent variable and the predicted values of the dependent variable.
Extrapolation is the process of using a statistical model to make predictions about values of a response variable outside the range of the data.
The farther outside the range of the data you go, the less reliable the predictions are likely to be.
Calculation of LSRL b is the slope, r is the correlation coefficient between x and y, sy is the standard deviation of y, and sx is the standard deviation of x.
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