Residuals

Front

What should a residual plot look like?

Back

Random

Front

Residuals are . . .

Back

the difference between the observed response and the values predicted by the model.

Front

Which of these points appears to be an 'Outlier'?

Back

C

Front

What is the value of the correlation coefficient?

Back

0.943

Front

After performing analyses on a set of data, which scatter plot indicated the best linear fit for the data?

Back

A

Front

Define residuals in the context of regression analysis.

Back

Residuals are the differences between observed values and the values predicted by a regression model.

Front

What does a random residual plot indicate about a model?

Back

It suggests that the model is a good fit for the data.

Front

What is the purpose of examining residuals in regression analysis?

Back

To assess the goodness of fit of the model and identify any patterns that suggest model inadequacies.

Front

What does it mean if residuals show a distinct pattern?

Back

It indicates that the model may not be capturing all the underlying trends in the data.

Front

How can outliers affect the residuals in a dataset?

Back

Outliers can disproportionately influence the regression line and lead to misleading residuals.