20 points me
joel wants to find the best model for a bivariate data set. he used a calculator to create a linear model, a quadratic model, and an exponential model.

the coefficients of determination were as follows:

linear model: 0.85

quadratic model: 0.78

exponential model: 0.91

which model should be used to represent the data set?
a. linearb. quadraticc. exponential

The exponential model

Step-by-step explanation:

A coefficient of determination is a measure of how well the graph of a regression fits the data set.  The closer this coefficient is to 1, the better the fit.

The closest coefficient we have to 1 is 0.91, which is that of the exponential model.  This means the exponential model is the best fit.

the correct answer is b. negative exponential growth.

step-by-step explanation:

you can tell it's an exponential function because it decreases rapidly then levels out and never touches the x-axis.

it is negative because the y-axis decreases as the x-axis increases.

therefore it is a negative exponential growth graph.

hope i !