AP Stats Unit 2

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Last updated 11:02 PM on 11/30/25
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28 Terms

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How is 2-Variable data usually displayed?

Two-Way/Contingency table

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Association

If changes in one variable lead to different distributions between different groups, the two variables are associated

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Joint relative frequency

1 cell / entire table

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Marginal relative frequency

entire row or column / entire table

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Conditional relative frequency

total of 1 cell / its respective row or column

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What acronym is appropriate to use when asked to describe scatterplots?

CDOFS:

C- Context

D- Direction

O- Outliers/Unusual features

F- Form 

S- Strength

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Correlation coefficient (r)

Quantifies how close data points adhere to a line of best fit / strength of a model

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What is the rule about correlation and causation?

Correlation DOES NOT equal causation.

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Linear regression equation

ŷ = a+bx

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Extrapolation

Using a linear model to predict an x-value outside of the given set

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<p>How do you read computer readouts?</p>

How do you read computer readouts?

a= -87.12

b= 1.5433

x= Constant

y= HEIGHT

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Residual

How far a given point is from the model’s prediction

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Residual plot

Judges the appropriateness of a model.

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How do you know a residual plot is favorable vs not?

You want to see a random distribution with no apparent form.

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Least Squares Regression Line (LSRL)

Linear equation that minimizes the sum of squared residuals. (See graphs on 2.8 notes to better understand difference)

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Coefficient of determination (r²)

Percent of variation in the response variable that can be explained by the explanatory variable.

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What ways can you judge if a linear model is appropriate?

YES: r, Residual scatter plot

NO: r²

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Outlier

A point that doesn’t follow the general trend, and therefore impacts the model’s strength because of its large residual

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High leverage point

A point with a significantly larger x-value than any other point. CAN follow the general trend, but may impact slope or y-int

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If you want to make a graph for categorical subsets of a categorical data, what kinds of plots can you use?
(See 2.1-3 notes for example)

Side by side bar graphs, segmented bar graphs, mosaic plots

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Where does the explanatory variable go?

x-axis

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Where does the response variable go?

y-axis

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What does the slope of a line say about its association

Upward slope- Positive assoc.

Downward slope- Negative assoc.

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Can you accurately calculate r for a nonlinear relationship?

No

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What does a positive residual indicate?

The model underestimated the response variable.

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What does a negative residual indicate?

The model overestimated the response variable.

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Is a residual plot appropriate to use if it fans inward/outward?

No

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Define an influential point

A point that, if removed, changes the linear regression substantially