Applying Linear Regression

Flashcard
•
Mathematics
•
9th - 12th Grade
•
Hard
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15 questions
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1.
FLASHCARD QUESTION
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.
2.
FLASHCARD QUESTION
Front
What does the correlation coefficient (r) indicate?
Back
The correlation coefficient (r) measures the strength and direction of a linear relationship between two variables, ranging from -1 to 1.
3.
FLASHCARD QUESTION
Front
What is the formula for the equation of the Line of Best Fit?
Back
The equation of the Line of Best Fit is typically expressed as y = mx + b, where m is the slope and b is the y-intercept.
4.
FLASHCARD QUESTION
Front
How do you interpret a positive correlation coefficient?
Back
A positive correlation coefficient indicates that as one variable increases, the other variable also tends to increase.
5.
FLASHCARD QUESTION
Front
How do you interpret a negative correlation coefficient?
Back
A negative correlation coefficient indicates that as one variable increases, the other variable tends to decrease.
6.
FLASHCARD QUESTION
Front
What is the significance of the slope in a linear regression equation?
Back
The slope (m) in a linear regression equation represents the change in the dependent variable (y) for a one-unit change in the independent variable (x).
7.
FLASHCARD QUESTION
Front
What does a correlation coefficient of -0.9 indicate?
Back
A correlation coefficient of -0.9 indicates a strong negative linear relationship between the two variables.
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