2-1 INTERPRET SCATTERPLOTS

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Presentation transcript:

2-1 INTERPRET SCATTERPLOTS Banking 9/18/2018 2-1 INTERPRET SCATTERPLOTS OBJECTIVES Graph bivariate data. Interpret trends based on scatterplots. Draw lines and curves of best fit. Chapter 1

Key Terms data univariate data bivariate data scatterplot trend correlation positive correlation negative correlation causal relationship explanatory variable response variable

How do scatterplots display trends? Define a function. Provide examples of scatterplots that are functions and scatterplots that are not functions. Identify the differences.

Unit 2.1 Interpret Scatterplots Univariate Data Bivariate Data Scatterplot A single set of numbers Pairs of data (numbers) that show a relationship Graph of bivariate data

Unit 2.1 Interpret Scatterplots Trend Correlation + Correlation - Correlation A general pattern of a scatterplot How well data fits a definitive line Data showing a + slope Data showing a - slope

Unit 2.1 Interpret Scatterplots Explanatory Variable Response Variable Variable that “causes” a change in another variable Variable changed by the explanatory variable

Unit 2.1 Interpret Scatterplots How do you create a scatterplot? 1. Develop your x & y axis scales a. Find min & max values and scale appropriately b. Label axes w/name & units plotted 2. Do NOT connect the data points

Example 1 Rachael runs a concession stand at the park, where she sells water bottles. She keeps a list of each day’s high temperature and the number of water bottles she sells each day. Rachael is looking for trends that relate the daily high temperature to the number of water bottles she sells each day. She thinks these two variables might be related and wants to investigate possible trends using a scatterplot. Below is the list of her ordered pairs. (65, 102), (71, 133), (79, 144), (80, 161), (86, 191), (86, 207), (91, 235), (95, 237), (100, 243) Construct a scatterplot by hand on graph paper. Then enter the data in a graphing calculator to create a scatterplot.

CHECK YOUR UNDERSTANDING If the temperature reaches 68 degrees Fahrenheit tomorrow, about how many water bottles do you predict will be sold? Explain.

Example 2 Rachael wants to interpret the trend shown in the scatterplot. What do you notice about the relationship between temperature and water bottle sales? Is there an explanatory variable and a response variable?

CHECK YOUR UNDERSTANDING A local coffee shop sells hot chocolate. The manager keeps track of the temperature for the entire year and the hot chocolate sales. A scatterplot is graphed with temperature on the horizontal axis and hot chocolate sales on the vertical axis. Do you think the scatterplot shows a positive or negative correlation? Is there causation? Explain.

EXAMPLE 3 Determine if the following scatterplot depicts a positive correlation or a negative correlation.

CHECK YOUR UNDERSTANDING A local medical school is studying growth of students in grades 1–12. The height of each student in inches and the length of each student’s foot in centimeters is recorded, and a scatterplot is constructed. Do you think the scatterplot shows a positive correlation or a negative correlation? Is there causation?

EXAMPLE 4 An elementary school principal compiled the following data about ten students at Compsett Elementary School. The first number represents a student’s height in inches. The second number is the student’s reading level. Create a scatterplot of the data. Do you think a person’s height causes a higher reading level?

CHECK YOUR UNDERSTANDING Think of an example of data that might have a negative correlation but there is no causation.

EXAMPLE 5 The scatterplot shows the relationship between the number of text messages made by each of ten juniors while studying for Mr. Galati’s chemistry test last week and their scores on the test. Describe the trends you see in the data.

CHECK YOUR UNDERSTANDING Students in a biology class measure the circumference and diameter of every tree on the school property. The students create a table of ordered pairs and plan to draw a scatterplot. Should there be a positive correlation, a negative correlation, or no correlation?