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# Curve Fitting Project Linear Model

• Date Submitted: 03/31/2016 02:31 AM
• Flesch-Kincaid Score: 62.1
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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...