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Front

What is a residual in statistics?

Back

A residual is the difference between the actual value and the predicted value of a data point in a regression analysis.

Front

How do you calculate a residual?

Back

Residual = Actual y - Predicted y

Front

What does a positive residual indicate?

Back

A positive residual indicates that the actual value is greater than the predicted value.

Front

What does a negative residual indicate?

Back

A negative residual indicates that the actual value is less than the predicted value.

Front

In a residual plot, what does the y-axis represent?

Back

The y-axis represents the residuals of the data points.

Front

In a residual plot, what does the x-axis represent?

Back

The x-axis typically represents the predicted values or the independent variable.

Front

What is the purpose of a residual plot?

Back

A residual plot is used to assess the fit of a regression model by showing the residuals on the vertical axis.

Front

What does it mean if residuals are randomly scattered around zero?

Back

It indicates that the regression model is a good fit for the data.

Front

What does it mean if residuals show a pattern in a residual plot?

Back

It suggests that the model may not be capturing some aspect of the data.

Front

How many positive residuals are there if a residual plot shows 3 positive values?

Back

There are 3 positive residuals.