Explore! Exercises 9 and 10 provide two data sets from “Graphs in Statistical Analysis," by F. J. Anscombe, the American Statistician, Vol. 27. For each exercise, a. Construct a scatterplot. b. Find the value of the linear correlation coefficient r, then determine whether there is suffi- cient evidence to support the claim of a linear correlation between the two variables. c. Identify the feature of the data that would be missed if part (b) was completed without con- structing the scatterplot. 9. 10 8 13 11 14 6. 4 12 7 y 9.14 8.14 8.74 8.77 9.26 8.10 6.13 3.10 9.13 7.26 4.74

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
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I would need some assistent with problem nine, please?

Explore! Exercises 9 and 10 provide two data sets from "Graphs in Statistical Analysis,"
by F. J. Anscombe, the American Statistician, Vol. 27. For each exercise,
a. Construct a scatterplot.
b. Find the value of the linear correlation coefficient r, then determine whether there is suffi-
cient evidence to support the claim of a linear correlation between the two variables.
c. Identify the feature of the data that would be missed if part (b) was completed without con-
structing the scatterplot.
9.
10
8
13
11
14
6.
4
12
7
y
9.14
8.14
8.74
8.77
9.26
8.10
6.13
3.10
9.13
7.26
4.74
Transcribed Image Text:Explore! Exercises 9 and 10 provide two data sets from "Graphs in Statistical Analysis," by F. J. Anscombe, the American Statistician, Vol. 27. For each exercise, a. Construct a scatterplot. b. Find the value of the linear correlation coefficient r, then determine whether there is suffi- cient evidence to support the claim of a linear correlation between the two variables. c. Identify the feature of the data that would be missed if part (b) was completed without con- structing the scatterplot. 9. 10 8 13 11 14 6. 4 12 7 y 9.14 8.14 8.74 8.77 9.26 8.10 6.13 3.10 9.13 7.26 4.74
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