Question
1. Assuming other factors are constant, a correlation of r = .68 will result in more accurate predictions than a correlation of r = -.85.
1. Assuming other factors are constant, a correlation of r = .68 will result in more accurate predictions than a correlation of r = -.85.
true
false
2. If the value of sum of products (SP) is negative, then the correlation between X and Y must also be negative.
true
false
3. It is possible for none of the actual (observed) data points in a scatterplot to be located on the regression line derived from those data points.
True
False
4. The line defined by Y = 6 - 3X would slope up and to the right.
True
False
5. If the Pearson correlation between X and Y is r = .75, then X explains ____ of the variance in the Y scores.
87%
56%
25%
75%
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