In linear regression, the symbol m denotes the independent variable's coefficient.

• A. Coefficient
• B. Value
• C. Intercept
• D. P-value

Answer: (A)

The key idea is what m represents in a regression equation: it is the slope coefficient that links the independent variable to the dependent variable. In the familiar form y = mx + b, m is the coefficient multiplying x, and it tells you how much y changes for each one-unit change in x. A positive m means y goes up as x increases; a negative m means y goes down. This is exactly the role of the coefficient: it quantifies the effect of the predictor on the outcome. The intercept, b, is the predicted y when x is zero, which is a different part of the model. A P-value is about testing whether the coefficient is statistically different from zero, not the coefficient’s actual value. The term “value” is too generic to describe the specific role of this parameter in the equation.