1. The major distinction between simple regression and multiple regression is:
   1. The number of dependent or response variables.
   2. The fact that multiple regression models may be curvilinear.
   3. **The number of independent or predictor variables.
   4. The fact that multiple regression models are not fit with a least squares procedure as in simple regression.
   5. None of the above answers is correct.