Stats Exam 2

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Correlation Coefficient (R) 

• Measures the strength of a linear relationship.

• The closer it gets to 1 or -1, the stronger the correlation.

• The positive or negative tells you the direction.

Coefficient of Determination (R2)

• Measures the proportion of the variance in the dependent variabe that can be predicted form the independent variable

• Ex: R2 = .64 means 64% of the variation in dependent variable is explained by independent variable.

What does the slope of the regression line represent?

The change in Y for each 1-unit change in X

What should residual plots look like?

Scattered.

Outliers effect on R2

Depends on location in relation to data and regression.