Data, Inference, and Decisions
In the context of a simple linear regression model, slope refers to the measure of how much the dependent variable is expected to increase or decrease when the independent variable increases by one unit. This value is crucial because it quantifies the relationship between the two variables and helps in making predictions based on the model. A positive slope indicates a direct relationship, while a negative slope shows an inverse relationship between the variables.
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