Answer-first summary for fast verification
Answer: all other independent variables constant
## Explanation **Option B is correct** because: - Partial regression coefficients (also called slope coefficients) measure the marginal effect of one independent variable on the dependent variable - The key assumption is "ceteris paribus" - holding all other independent variables constant - This allows us to isolate the effect of each variable independently **Why other options are incorrect:** - **Option A**: The intercept coefficient ($b_0$) is not held at zero; it represents the expected value of Y when all X variables are zero - **Option C**: Holding the slope coefficient equal to zero would eliminate the variable's effect entirely, which contradicts the purpose of measuring its impact
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With respect to multiple linear regression, a partial regression coefficient describes the impact of a change in the respective independent variable on the dependent variable, holding:
A
the intercept coefficient equal to zero
B
all other independent variables constant
C
the respective slope coefficient equal to zero
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