In a linear regression model, what does the slope of the regression line represe

In a linear regression model, what does the slope of the regression line represent?

The predicted value of the dependent variable
The change in the dependent variable for a one-unit change in the independent variable
The correlation between the independent and dependent variables
The intercept of the regression line

In a linear regression model, what does the slope of the regression line represent?

Step 1: Understand that a linear regression model is used to predict a value based on another value.
Step 2: Identify the two types of variables: the dependent variable (what you want to predict) and the independent variable (the one you use for prediction).
Step 3: The regression line is a straight line that best fits the data points on a graph.
Step 4: The slope of the regression line is a number that shows the relationship between the independent variable and the dependent variable.
Step 5: If the slope is positive, it means that as the independent variable increases, the dependent variable also increases.
Step 6: If the slope is negative, it means that as the independent variable increases, the dependent variable decreases.
Step 7: Specifically, the slope tells you how much the dependent variable is expected to change when the independent variable increases by one unit.

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