Linear Regression Models and Residuals

Flashcard
•
Mathematics
•
12th Grade
•
Hard
+3
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15 questions
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1.
FLASHCARD QUESTION
Front
What are residuals in linear regression?
Back
Residuals are the difference between the observed response and the values predicted by the model.
2.
FLASHCARD QUESTION
Front
How is the relationship between x and y described in a strong negative correlation?
Back
In a strong negative correlation, as x increases, y tends to decrease significantly.
Tags
CCSS.HSF-LE.A.1B
3.
FLASHCARD QUESTION
Front
True or False: A scatter plot and a residual plot are the same thing.
Back
False
Tags
CCSS.HSS.ID.B.6B
4.
FLASHCARD QUESTION
Front
How do you calculate a residual?
Back
Residual = Observed - Predicted
5.
FLASHCARD QUESTION
Front
What does the slope in a linear regression equation represent?
Back
The slope represents the change in the response variable for each one-unit change in the predictor variable.
Tags
CCSS.HSF.LE.B.5
6.
FLASHCARD QUESTION
Front
What is the formula for a linear regression equation?
Back
y = mx + b, where m is the slope and b is the y-intercept.
Tags
CCSS.8.EE.B.5
7.
FLASHCARD QUESTION
Front
What does a positive slope indicate in a linear regression model?
Back
A positive slope indicates that as the independent variable increases, the dependent variable also increases.
Tags
CCSS.HSF.LE.B.5
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