Ineed !

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

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

Hello! mark me brainliest
answer:
congruent segments
step-by-step explanation:
congruent segments. take a line, cut it in half, superipose one half over the other half; you'll have congruence.