1 / 7

Bivariate Data & Scatter Plots

Bivariate Data & Scatter Plots. Learn to take bivariate data to create a scatter plot for the purpose of deriving meaning from the data.

cstuart
Download Presentation

Bivariate Data & Scatter Plots

An Image/Link below is provided (as is) to download presentation 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. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Bivariate Data & Scatter Plots Learn to take bivariate data to create a scatter plot for the purpose of deriving meaning from the data.

  2. Focus 7 - Learning Goal #2:The student will construct, interpret and identify patterns of associations for bivariate data displayed in two-way tables and scatterplots.

  3. Scatter Plot • What is a scatter plot? • A scatter plot is a graph that shows the relationship between two sets of data. • Each point on the graph is an ordered pair. (x, y) • By how the points are grouped or not grouped, you can determine if the data is related. • Types of correlation: NO CORRELATION POSITIVE NEGATIVE

  4. Example 1: • 8 people were surveyed to find their shoe size and height. • It’s hard to see a relationship between all of this data, so lets look at it as a scatter plot. • Shoe size will be our “x” and height will be our “y.” This will make an ordered pair.

  5. Example 1 continued… • Plot the data from the table onto the graph. • What can you conclude from this data? • According to our data, the height of a person is related to their shoe size. • Generally, the larger the shoe size, the taller the person.

  6. Activity: Ice Cream & Temperature • An ice cream shop keeps track of how much ice cream they sell versus the temperature on that day. Here are their figures for the last 12 days: • What can you conclude from this data? • If we take this data and create a scatter plot, we will be able to draw a conclusion. • Each student will plot this data on a scatter plot.

  7. Scatter Plot… • What can you conclude from this data? • It is now easy to see that warmer weather leads to more sales .

More Related