least squares regression line

Flashcard
•
Mathematics
•
11th - 12th Grade
•
Hard
+2
Standards-aligned
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1.
FLASHCARD QUESTION
Front
What is the least squares regression line?
Back
The least squares regression line is a statistical method used to determine the line of best fit for a set of data points by minimizing the sum of the squares of the vertical distances (residuals) between the observed values and the values predicted by the line.
Tags
CCSS.8.SP.A.2
2.
FLASHCARD QUESTION
Front
What does a correlation coefficient (r) of 0.8 indicate?
Back
A correlation coefficient (r) of 0.8 indicates a strong positive linear relationship between two variables.
Tags
CCSS.HSS.ID.B.5
3.
FLASHCARD QUESTION
Front
What does it mean if two variables are correlated?
Back
If two variables are correlated, it means that there is a statistical relationship between them, indicating that changes in one variable are associated with changes in the other.
Tags
CCSS.HSS.ID.C.9
4.
FLASHCARD QUESTION
Front
What does random scatter in the residuals indicate about a regression model?
Back
Random scatter in the residuals indicates that a linear model is appropriate for the data, suggesting that the model captures the relationship well without systematic errors.
5.
FLASHCARD QUESTION
Front
What does a correlation coefficient near 1 or -1 signify?
Back
A correlation coefficient near 1 signifies a strong positive linear relationship, while a coefficient near -1 signifies a strong negative linear relationship between two variables.
Tags
CCSS.HSS.ID.B.5
6.
FLASHCARD QUESTION
Front
How does changing the units of measurement for x or y affect the correlation coefficient?
Back
Changing the units of measurement for x or y does not change the correlation coefficient; it remains the same regardless of the units used.
7.
FLASHCARD QUESTION
Front
What is a residual plot?
Back
A residual plot is a graphical representation of the residuals (the differences between observed and predicted values) plotted against the independent variable or predicted values, used to assess the fit of a regression model.
Tags
CCSS.HSS.ID.B.6B
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