To create a mathematical model of several data points, you identify the R2 values of different regression types. You find a linear regression R2 value of 0.997, a quadratic regression R2 value of 0.776, a power regression R2 value of 0.788, and an exponential regression R2 value of 0.834. Which mathematical model would you use to best fit the data?

D. Linear model

Step-by-step explanation:

According to the question the various R square values are mentioned below:

Linear  0.997

Quadratic 0.776

Power regression 0.788

Exponential 0.834

The r- square is a measure of statistics that represents the data to be fitted on the line of regression. The other name is the coefficient of determination also if is 100% so it represents the perfect model

As if we compared all R square values so the highest R sqaure is near to one i.e. linear

Therefore this represents the linear model

3-4

step-by-step explanation:

the answer is 3-4 because both 45 and 60 has a multiple of 15.

45/3=15

60/4=15

therefore the odds against selecting a red is 4-3

stops on an even number.