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PLEASE I NEED HELP FAST!!!!!!!!!!!

The linear regression model for the data set below has an r^2 value of about 0.67.
What does this indicate?

A. about 67% of the differences in the populations can be explained by the regression line 
B. about 67% of the predictions made using linear model are correct
C. about 45% of the differences in the populations can be explained by the regression line

PLEASE I NEED HELP FAST!!!!!!!!!!! The linear regression model for the data set below-example-1

2 Answers

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about 67% of the differences in the populations can be explained by the regression line

User Muek
by
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Interpretation. R2 is a statistic that will give some information about the goodness of fit of a model. In regression, the R2 coefficient of determination is a statistical measure of how well the regression line approximates the real data points. An R2 of 1 indicates that the regression line perfectly fits the data. so the correct answer is B. about 67% of the predictions made using linear model are correct
User Fuenfundachtzig
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8.3k points

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