AFDA Unit 8 Test Review

Front

What is a linear regression equation?

Back

A linear regression equation is a mathematical representation of the relationship between two variables, typically in the form y = mx + b, where m is the slope and b is the y-intercept.

Front

How do you calculate the expected value using a regression equation?

Back

To calculate the expected value, substitute the given value of x into the regression equation and solve for y.

Front

What does a positive correlation indicate?

Back

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

Front

What does a negative correlation indicate?

Back

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

Front

What is the meaning of 'no correlation'?

Back

No correlation means there is no discernible relationship between the two variables; changes in one do not affect the other.

Front

What does the correlation coefficient (r) represent?

Back

The correlation coefficient (r) quantifies the strength and direction of a linear relationship between two variables, ranging from -1 to 1.

Front

What does an r value of 0.3 indicate?

Back

An r value of 0.3 indicates a weak positive correlation between the two variables.

Front

What is the difference between linear and exponential models?

Back

A linear model represents a constant rate of change, while an exponential model represents a variable rate of change that increases or decreases rapidly.

Front

What is the formula for a linear regression line?

Back

The formula for a linear regression line is y = mx + b, where m is the slope and b is the y-intercept.

Front

What is the significance of the slope in a regression equation?

Back

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