Respuesta :
Answer:
close to 1, good fit
Step-by-step explanation:
If the coefficient of determination is a positive value, it means that the regression equation is a good fit for the data. The coefficient of determination, denoted by r^2, is a measure of how well the regression equation explains the variation in the data. A value of r^2 close to 1 indicates that the regression equation explains a large portion of the variation in the data, while a value of r^2 close to 0 indicates that the regression equation does not explain much of the variation in the data.
Therefore, if the coefficient of determination is a positive value, it means that the regression equation is a good fit for the data and explains a significant portion of the variation in the data. This means that the regression equation is likely to be a reliable model for the data and can be used to make predictions about the values of the dependent variable based on the values of the independent variable.
