- 357 Views
- Uploaded on
- Presentation posted in: General

Scatterplots

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Scatterplots

AP Statistics

CH. 7

EQ: How do we graph bivariate data?

- 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

- Form-clusters, gaps, curved, linear, etc
- Strength-weak, strong, spread
- Direction(association)-positive or negative
- Unusual features-outliers, data far away from the rest

- 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

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.

- Start with a graph
- Look for a pattern and deviations
- Add numerical descriptions
- Describe the overall pattern briefly

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

- 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.

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

Which scatterplot has

- Little or no association
- A negative association
- A linear association
- A moderately strong association
- A very strong association

HW

P. 164 # 3, 5, 9, 11