What is Linear Regression?
Linear Regression

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•
Mathematics
•
9th - 12th Grade
•
Hard
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15 questions
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1.
FLASHCARD QUESTION
Front
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 equation of a line in linear regression look like?
Back
The equation of a line in linear regression is typically expressed as y = mx + b, where m is the slope and b is the y-intercept.
3.
FLASHCARD QUESTION
Front
What is the slope in a linear regression equation?
Back
The slope (m) represents the rate of change of the dependent variable (y) for each unit change in the independent variable (x).
4.
FLASHCARD QUESTION
Front
What is the y-intercept 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.
5.
FLASHCARD QUESTION
Front
How do you interpret the slope of a linear regression line?
Back
The slope indicates how much the dependent variable is expected to increase (or decrease) when the independent variable increases by one unit.
6.
FLASHCARD QUESTION
Front
What is the purpose of finding the line of best fit in linear regression?
Back
The line of best fit minimizes the distance between the observed data points and the predicted values, providing the best approximation of the relationship between variables.
7.
FLASHCARD QUESTION
Front
What is a residual in linear regression?
Back
A residual is the difference between the observed value and the predicted value from the regression model.
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