Intro to Stat_Part_63

# Intro to Stat_Part_63 - 203 Set 1 x 10 8 13 9 11 14 6 4 12...

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Set 1 Set 2 Set 3 Set 4 x y x y x y x y 10 8.04 10 9.14 10 7.46 8 6.58 8 6.95 8 8.14 8 6.77 8 5.76 13 7.58 13 8.74 13 12.74 8 7.71 9 8.81 9 8.77 9 7.11 8 8.84 11 8.33 11 9.26 11 7.81 8 8.47 14 9.96 14 8.10 14 8.84 8 7.04 6 7.24 6 6.13 6 6.08 8 5.25 4 4.26 4 3.10 4 5.39 19 12.50 12 10.84 12 9.13 12 8.15 8 5.56 7 4.82 7 7.26 7 6.42 8 7.91 5 5.68 5 4.74 5 5.73 8 6.89 Table 12.18 a. For each data set, ﬁnd the least squares regression line and the correlation coefﬁcient. What did you discover about the lines and values of r? For each data set, create a scatter plot and graph the least squares regression line. Use the graphs to answer the following questions: b. For which data set does it appear that a curve would be a more appropriate model than a line? c. Which data set has an inﬂuential point (point close to or on the line that greatly inﬂuences the best ﬁt line)? d. Which data set has an outlier (obviously visible on the scatter plot with best ﬁt line graphed)? e.

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## This document was uploaded on 10/31/2011 for the course STA 2023 at University of Florida.

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Intro to Stat_Part_63 - 203 Set 1 x 10 8 13 9 11 14 6 4 12...

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