Multiple Linear Regression
2. The dependent variable must be of ratio/interval scale and normally distributed overall and normally distributed for each value of the independent variables 3. For every value of X, the distribution of Y scores must have approximately equal variability (homoscedasticity) 4. The relationship between X and Y must be linear 5.
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