Please help!!
Part 1: Collect Data
In order to complete your assignment, you will need...
![Mathematics](/tpl/images/cats/mat.png)
Mathematics, 26.06.2021 22:50, PONBallfordM89
Please help!!
Part 1: Collect Data
In order to complete your assignment, you will need to collect some data.
The first five data points have been provided for you.
Age
(years) Number of U. S. States Named in 60 Seconds
5 7
15 42
25 49
35 35
65 50
Take a survey of at least five more people. You need a watch, stopwatch, or timer.
First, record the age of the person you are surveying.
Next, ask the person to name as many U. S. states as possible in 60 seconds. Keep a count, and watch your timer. Record each person’s data next to his or her age.
Repeat this with at least five people, and be sure to survey a range of ages, from young to old.
Part 2: Organize Your Data
Create a table of values using the age and number of U. S. states named in 60 seconds.
A graph is provided with the first five points plotted. Use your table to add your five data points to the scatter plot.
You may create a new graph from scratch, containing all 10 points, print the sample graph and add your data, or save the sample as an image and use a drawing program to add your data to the image. If you choose to print and draw by hand, you need to be able to scan and upload your work at the end of the project.
A coordinate plane is shown. The x axis is labeled age in years and the y axis is labeled number of U. S. States named in 60 seconds. Five data points are already plotted on the graph. These points are located at 5 comma 7, 15 comma 42, 25 comma 49, 35 comma 35, and 65 comma 50.
Draw a line of best fit through your scatter plot. Draw by hand on your printed graph or use a drawing program on your computer to create the line.
Part 3: Drawing Conclusions
How did you decide where to place your line of best fit? Describe your reasoning.
Based on your data, describe the relationship between age and the number of U. S. states a person can name in 60 seconds.
Do you see any areas in your data or points that could be considered clusters or outliers? Explain your answer in complete sentences.
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