In linear regression, what does the term 'slope' represent?

The intercept of the regression line
The change in the dependent variable for a one-unit change in the independent variable
The overall error of the model
The strength of the relationship between variables

In linear regression, what does the term 'slope' represent?

Step 1: Understand that in linear regression, we are trying to find a relationship between two variables: one is called the independent variable (input) and the other is called the dependent variable (output).
Step 2: The slope is a number that tells us how much the dependent variable changes when we change the independent variable by one unit.
Step 3: If the slope is positive, it means that as the independent variable increases, the dependent variable also increases.
Step 4: If the slope is negative, it means that as the independent variable increases, the dependent variable decreases.
Step 5: In simple terms, the slope shows the direction and strength of the relationship between the two variables.

No concepts available.