Residuals and Residual Plots

Front

What is a residual in the context of regression analysis?

Back

A residual is the difference between the observed value and the predicted value of a dependent variable in a regression model.

Front

What does a residual plot display?

Back

A residual plot displays the residuals on the vertical axis and the independent variable on the horizontal axis, helping to assess the fit of a regression model.

Front

What does it indicate if a residual plot shows a random scatter of points?

Back

A random scatter of points in a residual plot indicates that a linear regression model is appropriate for the data.

Front

What does it mean if a residual plot shows a pattern?

Back

If a residual plot shows a pattern, it suggests that the linear regression model may not be appropriate, and a different model may be needed.

Front

How can you determine the number of zero residuals from a residual plot?

Back

The number of zero residuals can be determined by counting the points where the residual value is zero on the vertical axis of the residual plot.

Front

What is the significance of a linear regression model being appropriate for a dataset?

Back

An appropriate linear regression model indicates that there is a linear relationship between the independent and dependent variables, allowing for reliable predictions.

Front

What characteristics should a good residual plot have?

Back

A good residual plot should show no discernible pattern, with residuals randomly scattered around the horizontal axis.

Front

What does it mean if a residual plot is 'random'?

Back

A 'random' residual plot means that the residuals are evenly distributed without any systematic pattern, indicating a good fit for the linear model.

Front

What is the purpose of examining residuals in regression analysis?

Back

Examining residuals helps to assess the validity of the regression model and to identify any potential issues with the model fit.

Front

What is the relationship between residuals and model accuracy?

Back

Smaller residuals indicate a more accurate model, as they represent the differences between observed and predicted values.