What can we conclude if the square of the correlation coefficient is close to 1?

Question

Quizplus · Accepted Answer

A high value of the squared correlation coefficient (R-squared) indicates that a large proportion of the variation in the response variable is explained by the least-squares regression line. When R-squared is close to 1, it means that the regression line represents almost all the variability in the data, which implies that the model is a good fit for the data. Therefore, we can conclude that the least-squares regression line equation explains most of the variation in the response variable.

What Can We Conclude If the Square of the Correlation