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Chapter 5 Lesson 5.1a Summarizing Bivariate Data 5.1a: Correlation.

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Presentation on theme: "Chapter 5 Lesson 5.1a Summarizing Bivariate Data 5.1a: Correlation."— Presentation transcript:

1 Chapter 5 Lesson 5.1a Summarizing Bivariate Data 5.1a: Correlation

2 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Looking at Scatterplots Scatterplots are the best way to start observing the relationship and the ideal way to picture associations between two quantitative variables.

3 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Roles for Variables It is important to determine which of the two quantitative variables goes on the x-axis and which on the y-axis. This determination is made based on the roles played by the variables. When the roles are clear, the explanatory variable goes on the x-axis, and the response variable goes on the y-axis.

4 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Describing Scatterplots When looking at scatterplots, we will look for direction, form, strength, and unusual features. 1. Direction : Positive or Negative? A pattern that runs from the upper left to the lower right is said to have a negative direction. A trend running the other way has a positive direction.

5 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 1. Direction : Positive or Negative? The graph shows a positive association between the year since 1900 and the % of people who say they would vote for a woman president. As the years have passed, the percentage who would vote for a woman has increased.

6 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 1. Direction : Positive or Negative? This graph shows a negative association between peak period freeway speed and cost per person of traffic delays. As the peak period freeway speed increases, the cost per person of traffic delays decreases.

7 positive negativeno Identify as having a positive relationship, a negative relationship, or no relationship. 1.Heights of mothers and heights of their adult daughters + 2.Age of a car in years and its current value 3.Weight of a person and calories consumed 4.Height of a person and the person ’ s birth month 5.Number of hours spent in safety training and the number of accidents that occur - + no -

8 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 2. Form : Linear, Curved, or None? If there is a straight line (linear) relationship, it will appear as a cloud or swarm of points stretched out in a generally consistent, straight form.

9 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 2. Form : Linear, Curved, or None? Form: If the relationship isn’t straight, but curves gently, while still increasing or decreasing steadily, we can often find ways to make it more nearly straight.

10 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 2. Form : Linear, Curved, or None? Form: If the relationship curves sharply, the methods of this book cannot really help us.

11 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 3. Strength : Weak, Moderate, or Strong? Strength: Strong At one extreme, the points appear to follow a single stream (whether straight, curved, or bending all over the place).

12 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 3. Strength : Weak, Moderate, or Strong? Strength: Weak At the other extreme, the points appear as a vague cloud with no discernable trend or pattern: Note: we will quantify the amount of scatter soon.

13 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Looking at Scatterplots (cont.) Unusual features: Look for the unexpected. One example of such a surprise is an outlier standing away from the overall pattern of the scatterplot. Clusters or subgroups should also raise questions.

14 Describe the Scatterplots: *D.U.F.S.* Set A Set BSet C Set A shows a strong, positive linear relationship. Set B shows little or no relationship. Set C shows a weaker (moderate), negative linear relationship. Set D Set D shows a strong, positive curved relationship.

15 The Dating Habits of Celebrities http://curvewire.com/posts/blog/math-nerds- track-dating-habits-stars

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17 Activity: Create a Scatterplot Plot on the scatterplot (# hours studying, GPA)

18 Homework Due after Lesson 5.1b Pg.232: #5.1-5.13 (skip 5.7, 5.8, 5.11)


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