Linear Regression Assumptions and Model Formulation Quiz

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What is the first assumption for performing simple linear regression?

The outcome variable must be continuous

What does homoscedasticity refer to in the context of linear regression?

The variation around the regression line is constant

What does the assumption of independence mean in the context of linear regression?

The deviation of each data point from the regression line is independent of the deviation of other data points

What is the purpose of testing for outliers in linear regression?

To identify points that can substantially reduce the correlation

What does a Q-Q plot assess in the context of linear regression?

Distributional similarity between dataset and theoretical distribution

Test your understanding of simple linear regression assumptions, model evaluation processes, and the formulation of multiple linear regression models. Identify the key assumptions for linear regression and learn about the process of model evaluation and formulation.

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