
Linear Regression, Correlation Coefficient, Residuals Practice
Flashcard
•
Mathematics
•
9th Grade
•
Practice Problem
•
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 indicate?
Back
The correlation coefficient is a statistical measure that describes the strength and direction of a relationship between two variables, ranging from -1 to 1.
3.
FLASHCARD QUESTION
Front
What are Residuals in linear regression?
Back
Residuals are the differences between the observed values and the values predicted by the linear regression model.
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 tends to also 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 purpose of a Residual Plot?
Back
A residual plot is used to assess the fit of a regression model by plotting residuals on the vertical axis and predicted values on the horizontal axis.
7.
FLASHCARD QUESTION
Front
What does it mean if a Residual Plot shows a random pattern?
Back
If a residual plot shows a random pattern, it suggests that a linear regression model is appropriate for the data.
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