# Curve Fitting Assignment

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.

TOPIC: To examine the Summer Olymipics Gymnastics Horizontal Bar competition, Gold Medal winning results.

Data was collected from the following website ~ http://www.databaseolympics.com/

 YEAR POINTS 1980 19.825 1984 20.00 1988 19.9 1992 9.875 1996 9.85 2000 9.787 2004 9.812 2008 16.200

(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 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 scatterplot. 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. 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

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