Linear Regression Unit Review

Front

What is linear regression?

Back

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.

Front

What does the slope in a linear regression equation represent?

Back

The slope indicates the rate of change of the dependent variable for each unit change in the independent variable.

Front

What is the formula for a linear regression equation?

Back

Front

How do you interpret the y-intercept in a linear regression model?

Back

The y-intercept is the value of the dependent variable when the independent variable is zero.

Front

What is a residual in the context of linear regression?

Back

A residual is the difference between the observed value and the predicted value from the regression model.

Front

How do you calculate a residual?

Back

Residual = Observed value - Predicted value.

Front

What does a negative residual indicate?

Back

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

Front

What is correlation?

Back

Correlation is a statistical measure that describes the strength and direction of a relationship between two variables.

Front

What does a positive correlation mean?

Back

A positive correlation means that as one variable increases, the other variable also tends to increase.

Front

What does a negative correlation mean?

Back

A negative correlation means that as one variable increases, the other variable tends to decrease.