The annual salary and the number of years of teaching experience were recorded for 100 high school teachers in northern Ohio. When the data points were plotted using a scatterplot, the relationship was shown to be linear and positive, with a correlation of r = 0.75 between salary and number of years of teaching experience. If we construct a regression equation to predict salary based on years of teaching experience, approximately what percentage of the variability in salary would be explained by that regression equation?
A 38%
B 56%
C 87%
D 75%
E 41%
Here,
We have:
Correlation coefficient (r) = 0.75
Coefficient of determination tells us the variability in the dependent variable explained by the independent variable.
Coefficient of determination = r2 = 0.752 = 0.5625 = 56%
Therefore, the percentage of variability in salary would be explained by that regression equation is 56%.
B option is correct.
The annual salary and the number of years of teaching experience were recorded for 100 high...
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