Statistics Unit 3 Assessment

Front

What is a residual in statistics?

Back

A residual is the difference between the observed value and the predicted value in a regression analysis. It is calculated as: Residual = Observed Value - Predicted Value.

Front

How do you calculate a residual?

Back

To calculate a residual, subtract the predicted value from the actual observed value: Residual = Actual Value - Predicted Value.

Front

What does a negative residual indicate?

Back

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

Front

What does a positive residual indicate?

Back

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

Front

What is correlation in statistics?

Back

Correlation measures the strength and direction of a linear relationship between two variables.

Front

What are the types of correlation?

Back

The types of correlation include positive correlation, negative correlation, and no correlation.

Front

What does a scatterplot represent?

Back

A scatterplot represents the relationship between two quantitative variables, showing how one variable may be affected by another.

Front

What does a negative correlation look like on a scatterplot?

Back

In a scatterplot, a negative correlation is indicated by points that slope downwards from left to right.

Front

What is a linear model?

Back

A linear model is a mathematical representation of the relationship between two variables, typically in the form of an equation: y = mx + b.

Front

How do you interpret the slope in a linear model?

Back

The slope (m) in a linear model indicates the rate of change of the dependent variable (y) for each unit change in the independent variable (x).