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4-7

4-7. Scatter Plots. Course 3. Warm Up. Problem of the Day. Lesson Presentation. 4-7. Scatter Plots. C. D. A. B. Course 3. Warm Up Graph each point on the same coordinate plane. 1. A (5, 20) 2. B (20, 15) 3. C (10, 40) 4. D (30, 35). 4-7. Scatter Plots. Course 3.

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4-7

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  1. 4-7 Scatter Plots Course 3 Warm Up Problem of the Day Lesson Presentation

  2. 4-7 Scatter Plots C D A B Course 3 Warm Up Graph each point on the same coordinate plane. 1.A (5, 20) 2.B (20, 15) 3. C (10, 40) 4. D (30, 35)

  3. 4-7 Scatter Plots Course 3 Problem of the Day What is the least number that can be divided evenly by each of the numbers 1 through 12? 27,720

  4. 4-7 Scatter Plots Course 3 Learn to create and interpret scatter plots.

  5. 4-7 Scatter Plots Course 3 Insert Lesson Title Here Vocabulary scatter plot correlation line of best fit

  6. 4-7 Scatter Plots Course 3 A scatter plot shows relationships between two sets of data.

  7. 4-7 Scatter Plots Course 3 Additional Example 1: Making a Scatter Plot of a Data Set Use the given data to make a scatter plot of the weight and height of each member of a basketball team. The points on the scatter plot are (71, 170), (68, 160), (70, 175), (73, 180), and (74, 190).

  8. 4-7 Scatter Plots Course 3 Try This: Example 1 Use the given data to make a scatter plot of the weight and height of each member of a soccer team. 200 190 180 170 160 150 140 130 120 Height (in) Weight (lbs) 63 125 67 156 69 175 Weight 68 135 62 120 The points on the scatter plot are (63, 125), (67, 156), (69, 175), (68, 135), and (62, 120). 60 61 62 63 64 65 66 67 68 69 Height

  9. 4-7 Scatter Plots Course 3 Correlation describes the type of relationship between two data sets. The line of best fitis the line that comes closest to all the points on a scatter plot. One way to estimate the line of best fit is to lay a ruler’s edge over the graph and adjust it until it looks closest to all the points.

  10. 4-7 Scatter Plots Course 3 No correlation; as one data set increases, the other decreases. Negative correlation; as one data set increases, the other decreases. Positive correlation; both data sets increase together.

  11. 4-7 Scatter Plots Course 3 Additional Example 2A: Identifying the Correlation of Data Do the data sets have a positive, a negative, or no correlation?. A. The size of a jar of baby food and the number of jars of baby food a baby will eat. Negative correlation: The more food in each jar, the fewer number of jars of baby food a baby will eat.

  12. 4-7 Scatter Plots Course 3 Additional Example 2B: Identifying the Correlation of Data Do the data sets have a positive, a negative, or no correlation?. B. The speed of a runner and the number of races she wins. Positive correlation: The faster the runner, the more races she will win.

  13. 4-7 Scatter Plots Course 3 Additional Example 2C: Identifying the Correlation of Data Do the data sets have a positive, a negative, or no correlation?. C. The size of a person and the number of fingers he has No correlation: A person generally has ten fingers regardless of their size.

  14. 4-7 Scatter Plots Course 3 Try This: Example 2A Do the data sets have a positive, a negative, or no correlation?. A. The size of a car or truck and the number of miles per gallon of gasoline it can travel. Negative correlation: The larger the car or truck, the fewer miles per gallon of gasoline it can travel.

  15. 4-7 Scatter Plots Course 3 Try This: Example 2B Do the data sets have a positive, a negative, or no correlation?. B. Your grade point average and the number of A’s you receive. Positive correlation: The more A’s you receive, the higher your grade point average.

  16. 4-7 Scatter Plots Course 3 Try This: Example 2C Do the data sets have a positive, a negative, or no correlation?. C. The number of telephones using the same phone number and the number of calls you receive. No correlation: No matter how many telephones you have using the same telephone number, the number of telephone calls received will be the same.

  17. 4-7 Scatter Plots Course 3 Additional Example 3: Using a Scatter plot to Make Predictions Use the data to predict how much a worker will earn in tips in 10 hours. According to the graph, a worker will earn approximately $24 in tips in 10 hours.

  18. 4-7 Scatter Plots Course 3 Try This: Example 3 Use the data to predict how many circuit boards a worker will assemble in 10 hours. 141210 8 6 4 2 Hours According to the graph, a worker will assemble approximately 10 circuit boards in 10 hours. 2 4 6 8 10 12 14 Circuit Board Assemblies

  19. 4-7 Scatter Plots Course 3 Insert Lesson Title Here Lesson Quiz: Part 1 1. Use the given information to make a scatter plot.

  20. 4-7 Scatter Plots Course 3 Insert Lesson Title Here Lesson Quiz: Part 2 Do the data sets have a positive, negative, or no correlation? 2. the minimum wage and the year 3. the amount of precipitation and the day of the week 4. the amount of germs on your hands and the number of times you wash your hands in a day positive no correlation negative

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