Answer:
Step-by-step explanation:
Given that
We have coefficient of determination
=90.63%
This implies that nearly 91% of variation in change in dependent variable is due to the change in x.
The coefficient of determination is the square of the correlation (r) between predicted y scores and actual y scores; thus, it ranges from 0 to 1.
An R2 of 0 means that the dependent variable cannot be predicted from the independent variable.
An R2 of 1 means the dependent variable can be predicted without error from the independent variable.
