Pearson Manufacturing uses a multiple regression model to estimate production cost for units of its primary product Dummy variables x 8 and x 9 have been included to indicate which shift Day Shift, Swing Shift, or Night Shift produced the unit The dummy variables are assigned values as follows Supp...

This suggests that if the other variables in the model remain constant we co ...

Pearson Manufacturing uses a multiple regression model to estimate production cost for units of its primary product.

Question:

Pearson Manufacturing uses a multiple regression model to estimate production cost for units of its primary product. Dummy variables x₈ and x₉ have been included to indicate which shift— Day Shift, Swing Shift, or Night Shift— produced the unit. The dummy variables are assigned values as follows:

Suppose 2.72 is the estimated regression coefficient for dummy variable x₈ and 3.10 is the estimated regression coefficient for dummy variable x₉. Interpret these coefficients.