UNIT 4
Using Graphs to Analyze Data
LESSON 6
Scatter Plots
100% Correct Answers:
1.) A - ||
2.) A - The population remains roughly the same over time
3.) C - Outside temperature and heating bill
4.) B - about 41
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Lesson 6 in Unit 4 of "Using Graphs to Analyze Data" is about scatter plots. A scatter plot is a type of graph that displays and represents a collection of different points on a coordinate plane. These points are often used to show the relationship between two variables in a data set.
To create a scatter plot, you first need a set of data that includes pairs of values for the two variables you want to analyze. For example, let's say you want to study the relationship between the number of hours students study and their test scores.
Here are the steps to create a scatter plot:
1. Collect the data: Gather the data for your variables, in this case, the number of hours studied and the corresponding test scores for each student.
2. Assign the variables: Choose which variable will go on each axis of the graph. In this case, you would likely put the number of hours studied on the x-axis (horizontal axis) and the test scores on the y-axis (vertical axis).
3. Plot the points: For each data point, locate the corresponding value on the x-axis and the y-axis, and plot a point where the two intersect. Repeat this process for all data points.
4. Label the axes: Add labels to the x-axis and y-axis to indicate what the variables represent. In this case, you would label the x-axis as "Number of Hours Studied" and the y-axis as "Test Scores".
5. Title the graph: Give your scatter plot a title that describes the relationship being analyzed. For example, you could title it "Relationship between Hours Studied and Test Scores".
6. Analyze the scatter plot: Once you have created the scatter plot, you can analyze it to determine if there is a relationship or pattern between the two variables. Look for trends, clusters, or any outliers in the points. You can also calculate the correlation coefficient, which measures the strength and direction of the relationship.
Scatter plots are useful for visualizing and analyzing relationships between variables. They can help identify patterns, trends, and outliers in data sets. By understanding how to create and interpret scatter plots, you can gain valuable insights into the data you are analyzing.