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**1-8**Scatter Plots Warm Up Problem of the Day Lesson Presentation Course 2**Scatter Plots**1-8 Course 2 Warm Up Which of the following pairs do you think have a cause-and-effect relationship? 1. height and age 2. hand span and address 3. grade average and shoe size 4. temperature and date yes no no yes**Scatter Plots**1-5 Course 2 Problem of the Day From the pizza shop, James walks 12 blocks south, 22 blocks east, 18 blocks north, and 30 blocks west. What is the least number of blocks that he must travel if he returns to the pizza shop? 14**Scatter Plots**1-5 Course 2 Learn to display and analyze data in scatter plots.**Scatter Plots**1-5 Course 2 Vocabulary scatter plot positive correlation negative correlation no correlation**Scatter Plots**1-5 Course 2 To find out if two sets of data may be related, you can make a scatter plot of the data values in each set. A scatter plot has two number lines, called axes—one for each set of data values. Each point on the scatter plot represents a pair of data values. These points may appear to be scattered or may cluster in the shape of a line or a curve.**Scatter Plots**1-5 Number of Endangered Species Type U.S. Only Rest of World Mammals 63 251 Birds 78 175 Reptiles 14 64 Amphibians 10 8 Fishes 70 11 Clams 61 2 Course 2 Additional Example 1: Making a Scatter Plot Use the data to make a scatter plot. Describe the relationship between the data sets. 300 240 180 120 60 0 0 20 40 60 80 Step 1: Determine the scale and interval for each axis. Place the number of animals endangered in the U.S. on the horizontal axis and the number of animals endangered in the rest of the world on the vertical axis.**Scatter Plots**1-5 300 240 180 120 60 0 Number of Endangered Species Type U.S. Only Rest of World Mammals 63 251 Birds 78 175 Reptiles 14 64 Amphibians 10 8 Fishes 70 11 Clams 61 2 0 20 40 60 80 Course 2 Additional Example 1 Continued Step 2: Plot a point for each pair of values.**Scatter Plots**1-5 300 240 180 120 60 0 Number of Endangered Species Type U.S. Only Rest of World Mammals 63 251 Birds 78 175 Reptiles 14 64 Amphibians 10 8 Fishes 70 11 Clams 61 2 0 20 40 60 80 Course 2 Additional Example 1 Continued Use the data to make a scatter plot. Describe the relationship between the data sets. Number of Endangered Species Rest of World U.S. Step 3: Label the axes and give the graph a title.**Scatter Plots**1-5 300 240 180 120 60 0 Number of Endangered Species Type U.S. Only Rest of World Mammals 63 251 Birds 78 175 Reptiles 14 64 Amphibians 10 8 Fishes 70 11 Clams 61 2 0 20 40 60 80 Course 2 Additional Example 1 Continued Use the data to make a scatter plot. Describe the relationship between the data sets. Number of Endangered Species Rest of World U.S. There appears to be no relationship between the data sets.**Scatter Plots**1-5 Year Number of farm workers in thousands 1940 8,995 1950 6,858 1960 4,132 1970 2,881 1980 2,818 1990 2,864 Course 2 Check It Out: Example 1 Use the data to make a scatter plot. Describe the relationship between the data sets. 10,000 8,000 6,000 4,000 2,000 1940 1960 1980 2000 Step 1: Determine the scale and interval for each axis. Place the year on the horizontal axis and the number of farm workers on the vertical axis.**Scatter Plots**1-5 10,000 8,000 6,000 4,000 2,000 Year Number of farm workers in thousands 1940 8,995 1950 6,858 1960 4,132 1970 2,881 1980 2,818 1990 2,864 1940 1960 1980 2000 Course 2 Check It Out: Example 1 Continued Step 2: Plot a point from each pair of values.**Scatter Plots**1-5 10,000 8,000 6,000 4,000 2,000 Year Number of farm workers in thousands 1940 8,995 1950 6,858 1960 4,132 1970 2,881 1980 2,818 1990 2,864 1940 1960 1980 2000 Course 2 Check It Out: Example 1 Continued Number of Farm Workers Number (in thousands) Year Step 3: Label the axes and give the graph a title.**Scatter Plots**1-5 10,000 8,000 6,000 4,000 2,000 Year Number of farm workers in thousands 1940 8,995 1950 6,858 1960 4,132 1970 2,881 1980 2,818 1990 2,864 1940 1960 1980 2000 Course 2 Check It Out: Example 1 Continued Number of Farm Workers Number (in thousands) Year The number of farm workers decreased from 1940 to 1970.**Scatter Plots**1-5 Course 2 There are three ways to describe data displayed in a scatter plot. Positive Correlation Negative Correlation No Correlation The values in both data sets increase at the same time. The values in one data set increase as the values in the other set decrease. The values in both data sets show no pattern.**Scatter Plots**1-5 Course 2 Additional Example 2A: Determining Relationships Between Two Sets of Data Write positive correlation, negative correlation, or no correlation to describe each relationship. Explain. The graph shows that as area increases, population increases. So the graph shows a positive correlation between the data sets.**Scatter Plots**1-5 Course 2 Additional Example 2B: Determining Relationships Between Two Sets of Data Write positive correlation, negative correlation, or no correlation to describe each relationship. Explain. height and number of vacation days The number of vacation days is not related to height. So there would not be any correlation between these two variables.**Scatter Plots**1-5 Course 2 Additional Example 2C: Determining Relationships Between Two Sets of Data Write positive correlation, negative correlation, or no correlation to describe each relationship. Explain. outdoor temperature and coat sales As the outdoor temperature increases, the number of coat sales will decrease. So there would be a negative correlation between the data sets.**Scatter Plots**1-5 Course 2 Check It Out: Example 2A Write positive correlation, negative correlation, or no correlation to describe each relationship. The graph shows that as the year increases, number of tornados increases. So the graph shows a positive correlation between the data sets.**Scatter Plots**1-5 Course 2 Check It Out: Example 2B Write positive correlation, negative correlation, or no correlation to describe each relationship. The graph shows that as the length of string increases, frequency decreases. So the graph shows a negative correlation between the data sets. vps = vibrations per second**Scatter Plots**1-5 Course 2 Check It Out: Example 2C Write positive correlation, negative correlation, or no correlation to describe each relationship. eye color and age There would not be any correlation between these two variables.**Scatter Plots**1-5 Course 2 Lesson Quiz: Part I 1. Use the data to make a scatter plot. Describe the relationship. Temperature Attendance 70 100 80 350 75 250 85 400 74 200 82 375 72 260 The graph shows a positive correlation.**Scatter Plots**1-5 Course 2 Lesson Quiz: Part II 2. Write positive, negative, or no correlation to describe each relationship. Explain negative correlation; as age increases, attendance decreases.