Linear Regression Flashcard

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.

Tags

CCSS.8.SP.A.2

Front

What is the formula for linear regression?

Back

Tags

CCSS.8.EE.B.5

Front

What does the slope (m) represent in a linear regression equation?

Back

The slope (m) represents the change in the dependent variable (y) for a one-unit change in the independent variable (x).

Tags

CCSS.HSF.LE.B.5

Front

What is the y-intercept (b) in a linear regression equation?

Back

The y-intercept (b) is the value of the dependent variable (y) when the independent variable (x) is zero.

Tags

CCSS.HSF.LE.B.5

Front

What is a line of best fit?

Back

A line of best fit is a straight line that best represents the data on a scatter plot, minimizing the distance between the line and all data points.

Tags

CCSS.8.EE.B.5

Front

What does a positive correlation indicate?

Back

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

Tags

CCSS.HSS.ID.B.5

Front

What does a negative correlation indicate?

Back

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

Tags

CCSS.HSS.ID.B.5

Front

What is the correlation coefficient (r)?

Back

The correlation coefficient (r) is a statistical measure that describes the strength and direction of a relationship between two variables, ranging from -1 to 1.

Tags

CCSS.HSS.ID.C.8

Front

What does an r value of -0.26 indicate?

Back

An r value of -0.26 indicates a weak negative correlation between the two variables.

Tags

CCSS.HSS.ID.B.5

Front

How do you interpret an r value of 0.85?

Back

An r value of 0.85 indicates a strong positive correlation between the two variables.

Tags

CCSS.HSS.ID.B.5