Scatterplots
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Scatterplots. AP Statistics CH . 7 EQ: How do we graph bivariate data?. Scatterplots. Help to observe relationships between two quantitative variables(we call this describing bivariate data) Should have title, labels, units

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Scatterplots

Scatterplots

AP Statistics

CH. 7

EQ: How do we graph bivariate data?


Scatterplots1

Scatterplots

  • Help to observe relationships between two quantitative variables(we call this describing bivariate data)

  • Should have title, labels, units

  • Can see patterns, trends, relationships, extraordinary values


Describing patterns

Describing patterns

  • Form-clusters, gaps, curved, linear, etc

  • Strength-weak, strong, spread

  • Direction(association)-positive or negative

  • Unusual features-outliers, data far away from the rest


Scatterplots

  • Response Variable (Dependent)

    • Measures an outcome of a study

    • In a scatterplot it goes on the y axis

  • Explanatory/Predictor Variable (Independent)

    -Attempts to explain the observed outcome

    -In a scatterplot it goes on the x axis


Scatterplots

If there is a relationship, tell which is the explanatory and response variables.

  • The amount of time spent studying and the grade on the exam

  • The weight and height of a person.

  • The amount of yearly rainfall and the yield of a crop.

  • Maximum daily temperature and average monthly heating bills.


Principles

Principles

  • Start with a graph

  • Look for a pattern and deviations

  • Add numerical descriptions

  • Describe the overall pattern briefly


Scatterplots

The high temperature in degree Fahrenheit and coffee sales (in hundreds of dollars) for a coffee shop for eight randomly selected days.


Scatterplots

  • Tell which variable is explanatory and which is response.

  • Graph the scatterplot. Describe it.

    C. Explain in a sentence what this says about high temperatures and coffee sales.


Book p 164 2

Book P. 164 # 2

Suppose you want to collect data for each pair of

variables. You want to make a scatterplot. Which

variable would be the explanatory variable and which

would be the response variable? Discuss the likely

direction, form, and strength.

A. T-shirts at a store: price each, number sold

  • Skin diving: depth, water pressure

  • Skin diving: depth, visibility

  • All elementary-school students: weight, score on a reading test


P 164 2

p.164 #2


Book p 164 6

Book P. 164 # 6

Which scatterplot has

  • Little or no association

  • A negative association

  • A linear association

  • A moderately strong association

  • A very strong association


Scatterplots

HW

P. 164 # 3, 5, 9, 11


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