Can anyone help with this project? I have attached the file. Curve-fitting Project - Linear Model
(due at the end of Week 5)
For this assignment, collect data exhibiting a relatively linear trend, fnd the line o± best ft,
plot the data and the line, interpret the slope, and use the linear equation to make a
prediction. Also, fnd
(coe²cient o± determination) and
(correlation coe²cient). Discuss
your fndings. Your topic may be that is related to sports, your work, a hobby, or something
you fnd interesting. I± you choose, you may use the suggestions described below.
Linear Model Example
and Technology Tips are provided in separate documents.
Tasks for Linear Regression Model (LR)
(LR-1) Describe your topic, provide your data, and cite your source. Collect at least 8 data
(Highly recommended: Post this information in the
Linear Model Project discussion as well as in your completed project.
brief informative description in the title of your posting.
Each student must use
The idea with the discussion posting is two-±old: (1) To share your interesting project idea with your classmates, and
(2) To give me a chance to give you a brie± thumbs-up or thumbs-down about your proposed topic and data.
Sometimes students get o³ on the wrong ±oot or misunderstand the intent o± the project, and your posting provides
an opportunity ±or some ±eedback. Remark:
Students may choose similar topics, but must have
. For example, several students may be interested in a particular Olympic sport, and that is fne, but they
must collect di³erent data, perhaps ±rom di³erent events or di³erent gen
(LR-2) Plot the points (x, y) to obtain a scatterplot. Use an appropriate scale on the
horizontal and vertical axes and be sure to label care±ully.
Visually judge whether the data points exhibit
a relatively linear trend. (I± so, proceed. I± not, try a di³erent topic or data set.)
(LR-3) Find the line o± best ft (regression line) and graph it on the scatterplot. State
the equation o± the line.
(LR-4) State the slope o± the line o± best ft. Care±ully interpret the meaning o± the slope in a
sentence or two.
(LR-5) Find and state the value o±
, the coe²cient o± determination, and r, the correlation
coe²cient. Discuss your fndings in a ±ew sentences. Is r positive or negative? Why? Is a line
a good curve to ft to this data? Why or why not? Is the linear relationship very strong,
moderately strong, weak, or nonexistent?
(LR-6) Choose a value o± interest and use the line o± best ft to make an estimate or
prediction. Show calculation work.
(LR-7) Write a brie± narrative o± a paragraph or two. Summarize your fndings and be sure to
mention any aspect o± the linear model project (topic, data, scatterplot, line, r, or estimate,
etc.) that you ±ound particularly important or interesting.
You may submit all o± your project in one document or a combination o± documents, which
may consist o± word processing documents or spreadsheets or scanned handwritten work,
provided it is clearly labeled where each task can be ±ound. Be sure to include your name.
This question was answered on: Sep 21, 2023
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