Answer:
Explanation:
"Bivariate data just means two variables; for example we could be considering how the sales of ice cream vary with the temperature given lots of reports of sales when temperature was measured.
The correlation coefficient or the coefficient of determination, is a measure of "goodness of fit" of bivariate data to a model, often linear; but in this case we are considering a linear model, a quadratic model, and an exponential model. Highest value C.o.D. means best fit, so he should use exponential model because 0.51 was the highest coefficient of determination. As simple as that"
Hope this explaination will find you well.