Answer:
It is not reasonable to use the line of best fit to make predictions from the data.
Explanation:
A correlation coefficient of r = 0.15 means that the goodness of fit for the data from linear regression analysis is
r² = 0.15² = 0.0225.
When r²=1, it means that correlation between the dependent and independent variable is perfect, and the dependent variable can be predicted reliably.
When r²=0, it means that there is absolutely no correlation between the dependent and independent variable.
When r²>0.9, it means that reasonable correlation exists between the dependent and independent variable.
A value of r²=0.0225 is extremely low, therefore it is not reasonable to use the line of best fit to make predictions.
