Residuals & Correlation

Front

The measure of the strength and direction of a linear relationship

Back

Correlation Coefficient

Front

This residual plot indicates a good model.

Back

True

Front

A method used to find the line of best fit.

Back

Linear Regression

Front

As study time _______________, errors _______________.

Back

increases ; decrease

Front

What type of correlation is seen?

Back

positive

Front

The difference between the observed value and the predicted value in a regression model is called?

Back

Residual

Front

What does a positive correlation indicate?

Back

As one variable increases, the other variable also increases.

Front

What does a negative correlation indicate?

Back

As one variable increases, the other variable decreases.

Front

What is the purpose of a residual plot?

Back

To assess the fit of a regression model.

Front

What does it mean if residuals are randomly scattered?

Back

The model is a good fit for the data.