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2 cards from this section. Quick, good the night before a test.
What does the intercept (β0) in a linear regression model represent?
Think about what happens to the dependent variable when predictors do not contribute.
What does a slope of β1 = 3 imply in a regression context?
Consider the effect of increasing the predictor variable.
What does β1 represent in a linear regression equation?
Remember the linear regression equation structure.
True or False: A higher R² score indicates a worse model fit.
Think about what R² measures regarding model quality.
You have a linear regression model with an intercept of 5 and a slope of 2. Predict y when x = 10, and interpret what this means in a real-world context.
Apply the regression formula and think about its implications.
In a model yielding an R² of 0.92, discuss what this indicates about the relationship between independent and dependent variables, including potential limitations of interpretation.
Consider other factors that may not be included in the model.
5 more questions in this section. Enroll free to practise them all.
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