(Solution) Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports,... > Snapessays.com

(Solution) Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports,...

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)

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.

Solution details:
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This question was answered on: Sep 21, 2023

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STATUS

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Sep 21, 2023

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