Chapter 3 Stats Review - Two-Variable Data

Chapter 3 Stats Review - Two-Variable Data

Assessment

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Mathematics

9th - 12th Grade

Hard

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15 questions

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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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