The variable is the Y variable containing the unknown score

The _______________ variable is the Y variable containing the unknown scores predicted based on a correlated Xvariable.

If the proportion of variance accounted for is 36%, what is the correlation coefficient for X and Y?

In general, a positive correlation means as the values of one variable _______________, there is a tendency for the values of the other variable to _______________..

If you want to predict the value of Y from a value of X, you should use the standardized regression coefficient in the regression equation. TRUE OR FALSE?

If the correlation coefficient for X and Y is calculated to be +.47, what is the proportion of variance accounted for?

Which of the following r-values indicates the weakest relationship between two variables?

-0.05

+0.65

+0.10

-0.89

Solution

The ___dependent____________ variable is the Y variable containing the unknown scores predicted based on a correlated X variable.

If the proportion of variance accounted for is 36% or 0.36, then the correlation coefficient for X and Y is sqrt(0.36)=0.6

In general, a positive correlation means as the values of one variable increases, there is a tendency for the values of the other variable to increase.

False, if one wants to predict the value of Y from a value of X she should not use the standardized regression coefficient in the regression equation.

If the correlation coefficient for X and Y is calculated to be +.47, the proportion of variance is 0.47^2=0.2209

The r values of -0.05 and 0.10 indicates the weakest relationship between two variables