Curve fitting Project Linear
Model
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Curve-fitting Project -
Linear Model – Instruction
A) Instructions:
For this assignment, collect
data exhibiting a relatively linear trend, 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. Your topic may be that is
related to sports, your work, a hobby, or something you find interesting.
B) 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. (Post this information as a main topic here in the Project
conference as well as in your completed project. Include a brief informative
description in the title of your posting. Each student must use different
data.)
(LR-2) Plot the points (x, y) to obtain a scatter plot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually judge whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different topic or data set.)
(LR-3) Find the line of best
fit (regression line) and graph it on the scatter plot. State the equation of
the line.
(LR-4) State the slope of the
line of best fit. Carefully interpret the meaning of the slope in a sentence or
two.
(LR-5) Find and state the
value of r2, the coefficient of determination, and r, the
correlation coefficient. See information on linear regression attached. 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, scatter plot, line, r, or
estimate, etc.) that you found particularly important or interesting.
See attachment( Which is a
sample of what the project should look like)
See attachment of my data
which you will be using for this Project(Baltimore Orioles winning games)
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