How do you interpret the slope of a regression line?
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The slope of a regression line represents how much the dependent variable is expected to change for every one-unit increase in the independent variable. If the slope is positive, it means that as the independent variable increases, the dependent variable also increases. If the slope is negative, it indicates that as the independent variable increases, the dependent variable decreases. For example, if the slope is 2, it means that for every one-unit increase in the independent variable, the dependent variable is expected to increase by 2 units. The slope essentially tells you the strength and direction of the relationship between the two variables.
The slope of a regression line indicates the rate of change in the dependent variable for a one-unit change in the independent variable.