Slope
In data science, slope refers to the measure of the steepness of a line that represents the relationship between two variables in a dataset. It is calculated by dividing the change in the value of the dependent variable by the change in the value of the independent variable. Slope is an important concept in linear regression, which is a statistical method used to model the relationship between two variables. The slope of the regression line represents the rate of change in the dependent variable for a unit change in the independent variable. A positive slope indicates a positive relationship between the variables, while a negative slope indicates a negative relationship. Slope can also be used to determine the direction and strength of the relationship between the variables.
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