What is the term for the predicted change in the target variable for a one-unit change in the feature?

What is the term for the predicted change in the target variable for a one-unit change in the feature?

• A. Slope
• B. Intercept
• C. Data Sensitivity
• D. Functional Forms

Answer: (A)

The slope is the predicted change in the target variable for a one-unit change in the feature. In a simple linear model ŷ = β0 + β1 x, the coefficient β1 is the slope: it tells you how much ŷ increases (or decreases) when x goes up by one unit, assuming everything else stays the same. This is the model’s measure of sensitivity to that feature. The intercept β0 is the predicted value when x is zero, not the per-unit change. The term “data sensitivity” isn’t a standard label for this idea, and “functional forms” refers to the overall shape of the relationship, not the per-unit effect.

The slope is the predicted change in the target variable for a one-unit change in the feature. In a simple linear model ŷ = β0 + β1 x, the coefficient β1 is the slope: it tells you how much ŷ increases (or decreases) when x goes up by one unit, assuming everything else stays the same. This is the model’s measure of sensitivity to that feature. The intercept β0 is the predicted value when x is zero, not the per-unit change. The term “data sensitivity” isn’t a standard label for this idea, and “functional forms” refers to the overall shape of the relationship, not the per-unit effect.