Given the model of the Exponential Regression:

By definition:

You can see in the table the observed y-values (the temperature in Fahrenheit)
In order to find the Predicted y-values, you need to substitute all the x-values given in the table (the time in minutes) into the equation and then evaluate. You get:










Now you have these points:
![(5,163.35),(8,157.07),(11,151.02),(15.143.32)(18,137.800),(22,130.77),(25,125.74),(29,119.33),(32,114.73),(35,110.32)]()
Therefore, you can plot them on the Coordinate Plane:
By definition, when the residual plot shows a pattern, a non-linear regression model is appropriate for the data. Therefore, the Exponential Regression Model is a good fit.
Hence, the answer is:
- Residual Plot:
- First option.