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What does the coefficient in a linear regression model represent?
Practice Questions
Q1
What does the coefficient in a linear regression model represent?
The strength of the relationship between variables
The predicted value of the dependent variable
The error in predictions
The number of features in the model
Questions & Step-by-Step Solutions
What does the coefficient in a linear regression model represent?
Steps
Concepts
Step 1: Understand that a linear regression model is used to predict a value (dependent variable) based on another value (independent variable).
Step 2: Identify the independent variable, which is the input or predictor in the model.
Step 3: Identify the dependent variable, which is the output or the value we want to predict.
Step 4: Learn that the coefficient is a number that shows how much the dependent variable changes when the independent variable changes by one unit.
Step 5: Recognize that a positive coefficient means that as the independent variable increases, the dependent variable also increases.
Step 6: Understand that a negative coefficient means that as the independent variable increases, the dependent variable decreases.
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