Can anyone help with this project? I have attached the file. Curve-fitting Project - Linear Model
(due at the end of Week 5)
Instructions
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
r
2
(coe²cient o± determination) and
r
(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.
A
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
points.
Label appropriately.
(Highly recommended: Post this information in the
Linear Model Project discussion as well as in your completed project.
Include a
brief informative description in the title of your posting.
Each student must use
di³erent data.)
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
diFerent
data sets
. 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
der.
(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±
r
2
, 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
Solution~00021147635937.zip (25.37 KB)
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DATE ANSWEREDSep 21, 2023
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