(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)

 

(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.

 


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This question was answered on: Sep 21, 2023

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