Under what conditions might it make better sense to use a linear function rather than a quadratic or cubic function that fits a few data points more closely? Choose the correct answer below.
- A. When the range of the data is less than the average value of the function.
- B. When the few data points which are fit more closely by the quadratic or cubic function seem inconsistent with the other data.
- C. When the linear function already fits at least 20 data points closely.
- D. When the quadratic or cubic function would change the end behavior of the fit.
I've found the answer of this question, it's B When the few data points which are fit more closely by the quadratic or cubic function seem inconsistent with the other data. This is for future assistance of others