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Chapter 3 3-5 Scatter plots

Chapter 3

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Chapter 3 . 3-5 Scatter plots . SAT Problem of the day. Nicoletta deposits $150 in her savings account. If this deposit represents a 12 percent increase in her savings, then how much does her savings account contain after the deposit? A)$1,100 B)$1,250 C)$1400 D)$1680 E)1,800. - PowerPoint PPT Presentation

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Page 1: Chapter 3

Chapter 3 3-5 Scatter plots

Page 2: Chapter 3

SAT Problem of the day Nicoletta deposits $150 in her savings account.

If this deposit represents a 12 percent increase in her savings, then how much does her savings account contain after the deposit?

A)$1,100 B)$1,250 C)$1400 D)$1680 E)1,800

Page 3: Chapter 3

Solution to the problem of the day Right Answer: C

Page 4: Chapter 3

Objectives

Create and interpret scatter plots. Use trend lines to make predictions.

Page 5: Chapter 3

Scatter plot What is a scatter plot? A scatter plot is a graph with points

plotted to show a possible relationship between two sets of data. A scatter plot is an effective way to display some types of data.

Page 6: Chapter 3

Example#1 The table shows the number of

cookies in a jar from the time since they were baked. Graph a scatter plot using the given data.

Page 7: Chapter 3

Example#2 The table shows the number of points

scored by a high school football team in the first four games of a season. Graph a scatter plot using the given data.

Game Score 1 6 2 21 3 46 4 34

Page 8: Chapter 3

Student guided practice Do problem 4 in your book page 200

Page 9: Chapter 3

Correlation What is a correlation? A correlation describes a relationship

between two data sets. A graph may show the correlation between data. The correlation can help you analyze trends and make predictions. There are three types of correlations between data.

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Types of correlation

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Example#3 Describe the correlation illustrated

by the scatter plot.As the average daily temperature increased, the number of visitors increased.

There is a positive correlation between the two data sets

Page 12: Chapter 3

Example#4 Describe the correlation illustrated

by the scatter plot.

There is a positive correlation between the two data sets.

Page 13: Chapter 3

Student guided practice Do problems 5 and 6 in your book page

200

Page 14: Chapter 3

Example #5 Identify the correlation you would

expect to see between the pair of data sets. Explain.

the average temperature in a city and the number of speeding tickets given in the city

You would expect to see no correlation. The number of speeding tickets has nothing to do with the temperature.

Page 15: Chapter 3

Example#6 Identify the correlation you would

expect to see between the pair of data sets. Explain.

the number of people in an audience and ticket sales

You would expect to see a positive correlation. As ticket sales increase, the number of people in the audience increases.

Page 16: Chapter 3

Example#7 Identify the correlation you would

expect to see between the pair of data sets. Explain.

a runner’s time and the distance to the finish line

You would expect to see a negative correlation. As time increases, the distance to the finish line decreases.

Page 17: Chapter 3

Student guided practice Do problems 7-9 in your book page 200

Page 18: Chapter 3

Matching Scatter plots Choose the scatter plot that best

represents the relationship between the age of a car and the amount of money spent each year on repairs. Explain.

Graph A Graph B Graph C

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solution Graph B

Page 20: Chapter 3

Example#8 Choose the scatter plot that best

represents the relationship between the number of minutes since a pie has been taken out of the oven and the temperature of the pie. Explain.

Graph A Graph B Graph C

Page 21: Chapter 3

Solution Graph A Graph B shows the pie cooling while it

is in the oven, so it is incorrect. Graph C shows the temperature of the pie increasing, so it is incorrect. Graph A is the correct answer.

Page 22: Chapter 3

Student guided practice Do problems 10-11

Page 23: Chapter 3

What is the trend line? You can graph a function on a scatter

plot to help show a relationship in the data. Sometimes the function is a straight line. This line, called a trend line, helps show the correlation between data sets more clearly. It can also be helpful when making predictions based on the data.

Page 24: Chapter 3

Example The scatter plot shows a

relationship between the total amount of money collected at the concession stand and the total number of tickets sold at a movie theater. Based on this relationship, predict how much money will be collected at the concession stand when 150 tickets have been sold.

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solution

Based on the data, $750 is a reasonable prediction of how much money will be collected when 150 tickets have been sold.

Page 26: Chapter 3

Homework !! Do problems 14-20 in your book page

201

Page 27: Chapter 3

Quiz #3 1. Write a possible situation for the given

graph.

2. Express the relation {(–2, 5), (–1, 4), (1, 3), (2, 4)} as a table, as a graph, and as a mapping diagram.

Page 28: Chapter 3

Quiz#3 3. Give the domain and range of the

relation. Tell whether the relation is a function. Explain.