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.

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Presentation transcript:

Chapter 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

Solution to the problem of the day  Right Answer: C

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

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.

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.

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

Student guided practice  Do problem 4 in your book page 200

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.

Types of correlation

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

Example#4  Describe the correlation illustrated by the scatter plot. There is a positive correlation between the two data sets.

Student guided practice  Do problems 5 and 6 in your book page 200

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.

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.

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.

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

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

solution  Graph B

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 

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.

Student guided practice  Do problems 10-11

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.

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.

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

Homework !!  Do problems in your book page 201

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.

Quiz#3  3. Give the domain and range of the relation. Tell whether the relation is a function. Explain.