Question

ANSWER ASAP PLEASEEE Part One: Measurements There are many measurements of the human body that are positively correlated. For example, the length of one’s forearm (measured from elbow to wrist) is approximately the same length as the foot (measured from heel to toe). They are positively correlated because, as one measurement increases, so does the other measurement. You will discover through this project whether a human’s arm span (measured across the body with the arms extended) is correlated to his height. You will need to collect data from 11 people, which will give you 12 data points including your own personal data. You will turn in and answer questions regarding only one scatter plot. You may use the sample data provided in the left column if you do not have 11 people to measure. Measure your own height and arm span (from finger-tip to finger-tip) in inches. You may need help from someone else to get accurate measurements. Measure 11 additional people and record all measurements on the "Data Record" document. You’ll use this to complete Part Two of this project. Part Two: Representation of Data Create a scatter plot of your data. Predict the line of best fit and sketch it on your graph. You may use graphing software and copy/paste your graph here or draw it by hand. Part Three: Line of Best Fit Use your scatter plot from Part Two to answer the following questions. 1. Which variable did you plot on the x-axis? __________________________ Which variable did you plot on the y-axis? __________________________ Why did you assign the variables this way? __________________________ __________________________ __________________________ __________________________ 2. Write the equation of the line of best fit using the slope-intercept formula y=mx+b. Show all your work, including the points used to determine the slope and how the equation was determined. Points used to find the slope: ___________________ Slope: ________________________ Each step of my work to find the slope: Equation for the line of best fit: __________________ Each step of my work to find the equation: 3. What does the slope represent within the context of your graph? __________________________ __________________________ What does the y-intercept represent? ____________________________________________________ 4. Test the residuals of two other points to determine how well the line of best fit models the data. 5. Use the line of best fit to help you describe the correlation. ____________________________________________________ ____________________________________________________ ____________________________________________________ 6. Using the line of best fit that you found in Part 3, Question 2, approximate how tall is a person whose arm span is 66 inches? __________________________ 7. According to your line of best fit, what is the arm span of a 74-in-tall person? __________________________ Arm Span (inches) Height (inches) 58 60 49 47 51 55 19 25 37 39 44 45 47 49 36 35 41 40 46 50 58 61

Answer 1

Answer:

You will likely need to actually measure a few people for parts 1 and 2, but  the statement in part 2 should be something like "The length of the forearm of one person will be very similar to the length of their foot" or "As the length of the forearm increases, the length of the foot will increase in similar amounts".

Since the equation in pt.3 is y = 0.860x + 3.302, if x=17, then 0.860(17) + 3.302=17.922

The next question is dependant on pt.1

The data from pt.1 should be somewhat similar to the data you collected, the values between them are different because of the allowed error margin between the two.

The data can be made into a function using the "line of best fit". The equation in part A represents a function because there are no two points where two y coordinates are on the exact same x coordinate.

Step-by-step explanation: