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Pearson Manufacturing uses a multiple regression model to estimate production

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.

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.

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