Answer:
zero
Step-by-step explanation:
The coefficient of determination (R², or the square of the linear correlation coefficient r) is an indicator that allows us to judge a simple linear regression quality. It measures the fit between the model and the observed data or how well the regression equation is suited to describe the distribution of points.
A strong correlation between two variables is usually greater than 0.8. A weak correlation between two variables is usually less than 0.5, but a very weak correlation between two variables will be near zero.
