Slope

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The slope in a linear regression model refers to the expected change in the dependent variable as the independent variable changes one unit.

The interpretation of the slope varies with the scale of the variables, and the type of transformation applied to each of the variables involved.

For instance,

1. Linear. Variables exhibit no transformation.
2. Semi-log. Either the dependent variable or the independent variables are transformed using the natural logarithm transformation.
3. Double-log. Variables are transformed using the natural logarithm transformation.

For additional functional forms see the concept "Functional forms."