Answer the following statement(s) true (T) or false (F)
1. A linear regression equation predicts a score on one variable from a score on another variable and that is based on the relationship between the two variables.
2.In the regression equation the predicted y value is based on an estimate and therefore can only be considered a best guess.
3.When understanding the linear relationship between two continuous variables, the slope coefficient tells us the magnitude of the relationship while the correlation coefficient indicates the direction of the relationship.
4.When estimating the regression model two degrees of freedom are lost because two parameters are being estimated.
5.A researcher believes that crime rises as individuals get older, but starts to decrease as they are past 30.This would be an example of a nonlinear relationship.
1.True
2.True
3.False
4.True
5.True
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