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Linear Math Project, College Algebra Use the data provided for Driver Deaths vs Age , find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient) using linear software.

Date Posted: 04/02/2021
Category: Math
Due Date: 16/02/2021
Instruction
Curve-fitting Project - Linear Model Instructions For this assignment, use the data provided for Driver Deaths vs Age , find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Use Linear Software, as described in "Video-Linear Regression" of topic Linear Regression/Correlation, to present the following. Tasks for Linear Model (LR) (LR-1) Describe your topic, and provide your data. (LR-2) Plot the points (x, y) to obtain the execution of the linear regression software. (LR-3) Find the line of best fit (regression line) and graph it on the scatterplot. Label the equation of the line as found in LR-4. (LR-4) Compute the slope and intercept of the line of best fit by using SSxx & SSxy and compare with values as computed by software. Carefully interpret the meaning of the slope in a sentence or two. (LR-5) Find and label on the plot the value of r2, the coefficient of determination, and r, the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent? (LR-6) Choose a value of interest and use the line of best fit to make an estimate or prediction. Show calculation work. (LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, line, r, or estimate, etc.) that you found particularly important or interesting. You are to create a WORD.docx file that contains the project title, introduction to Linear Regression and Correlation, data description and discussion, software graph of scatter points and regression line and all the comments to be presented regarding conclusions. Please contact me for any questions about the project. Data set with drivers deaths vs age attached.
Attached
Download File 1 (zip)
Download File 2 (PNG)
Download File 3 (PNG)
Tutor Uploads
Download File 1 (docx)
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  • Hello, do you have the data I'll use?
    Lekish | Feb 13, 2021, 09:36 AM
  • Hello, Yes sorry about that I thought I uploaded it in the original request. I have uploaded a screen grab of the data and a zip file with the info and other resources that may help. Thanks!
    User_34730 | Feb 14, 2021, 19:28 PM
  • Do you have the data for Driver Deaths vs Age. I need it so I can start. I cannot find the data in the files you uploaded. You can inquire and send me the data. It won't take more than 12 hours to complete the project. Thanks
    Lekish | Feb 14, 2021, 20:42 PM
  • I've uploaded a picture of the death vs age in the message thread. I sent it in the earlier message as well. Please let me know if you still don't get it. i also have the data listed below thanks age 17.5 death 38 age 22.0 death 36 age 26.5 death 34 age 29.5 death 24 age 38.4 death 22 age 44.5 death 20 age 52.0 death 19 age 64.5 death 18
    User_34730 | Feb 15, 2021, 17:48 PM
  • Checking that you have everything you need...
    User_34730 | Feb 16, 2021, 03:00 AM
  • I'll be done in 5 minutes. I got everything I needed.
    Lekish | Feb 16, 2021, 03:01 AM
  • I uploaded the work. Please check. Thank you
    Lekish | Feb 16, 2021, 03:17 AM
  • Looks great! Thanks so much!!
    User_34730 | Feb 16, 2021, 05:12 AM
  • Thank you so much. You can leave me a rating:). Lookinf forward to another cooperation
    Lekish | Feb 16, 2021, 06:10 AM
  • Yes of course! I left you a great rating and review :) Looking forward to the next one!
    User_34730 | Feb 17, 2021, 16:24 PM
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