One of the assumptions of the simple linear regression model is that: Multiple Choice deviations around the line are normally distributed. predictions can easily be made beyond the range of observed values of the predictor variable. variations around the line are nonrandom. all possible predictor variables are included in the model. the variance of error terms (deviations) varies directly with the predictor variable.

The answer ia given below:
Deviations around the line afe normally distributed.
All variables are independent and the relationship of the line are normally distributed.
 
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