The formula MVs=bo+(b1 x X1)+(b2 x X2)+(b3 x X3) is identified as what type of model?

The formula MVs = bo + (b1 x X1) + (b2 x X2) + (b3 x X3) is identified as an additive model because it sums the contributions of various independent variables X1, X2, and X3 to determine the dependent variable MVs. In this model, each coefficient (b1, b2, b3) represents the change in the dependent variable for a one-unit change in the corresponding independent variable, while all other variables are held constant. The presence of the additive nature of the equation is evident in the way the independent variables are combined, indicating that their effects are added together rather than multiplied or interacted.

This model is often employed in statistical analysis to assess the relationship between multiple variables and is particularly useful for understanding how each variable contributes independently to the outcome. The coefficients can be interpreted in a straightforward manner, making the additive model a common choice in various types of data analysis, especially in situations where the relationship between variables is assumed to be linear.