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Linear Regression
Provides a mean to estimate/predict the value of a dependent variable based upon the value of 1 (or more) independent variables
Horizontal Axis
X Axis (Independent)
Vertical Axis
Y Axis (Dependent)
Slope
Determines the direction and angle of the regression line within the graph
Slope Expresses
Extent to which y changes or every one unit change in x
Line of Best Fit
Purpose is to develop the line to allow the highest degree of prediction possible
Method of Least Squares
Procedure for developing the line of best fit
What is the purpose of the regression equation?
To estimate/predict the value of the dependent variable based on the independent variable
What is the point where the regression line meets the y-axis called?
Y-Intercept
In order to be effective predictors, independent variables need to have
Strong correlations with the dependent variables but only weak correlations with other independent variables