Use of simpler linear regression analysis assumes that:

a$)$ Variations around the line are non$-$random.

b$)$ A straight line will be determined that maximizes the sum of deviations of the data points.

c$)$ Predictions are to be made only within the range of observed values of the predictor variable.

d$)$ Deviations around the line are not normally distributed.

e$)$ Predictions can be made outside the range of observed values of the predictor variable.