Chapter 3 Stats Review - Two-Variable Data

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Mathematics
•
9th - 12th Grade
•
Hard
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1.
FLASHCARD QUESTION
Front
What is a residual plot?
Back
A residual plot is a graph that shows the residuals on the vertical axis and the independent variable on the horizontal axis. It helps to assess the fit of a regression model.
2.
FLASHCARD QUESTION
Front
When is a linear regression model appropriate?
Back
A linear regression model is appropriate when the relationship between the independent and dependent variables is linear, and the residuals are randomly scattered around zero.
3.
FLASHCARD QUESTION
Front
What does it mean to make predictions outside the range of observed values?
Back
Making predictions outside the range of observed values is risky because the model may not accurately represent the relationship in that range, leading to unreliable predictions.
4.
FLASHCARD QUESTION
Front
What is an explanatory variable?
Back
An explanatory variable is a variable that is used to explain changes in the response variable. It is often considered the independent variable in a study.
5.
FLASHCARD QUESTION
Front
What is a response variable?
Back
A response variable is the outcome or dependent variable that is being studied or predicted in a regression analysis.
6.
FLASHCARD QUESTION
Front
What does the y-intercept represent in a regression equation?
Back
The y-intercept represents the predicted value of the response variable when the explanatory variable is zero.
7.
FLASHCARD QUESTION
Front
What is the least-squares regression line?
Back
The least-squares regression line is a straight line that best fits the data points in a scatter plot by minimizing the sum of the squares of the vertical distances of the points from the line.
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