Importance of Graphing. Exercises 1 and 2 provide two data sets from “Graphs in Statistical Analysis,” by F. J. Anscombe, The American Statistician, Vol. 27. For each exercise, a. Construct a...

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Importance of Graphing. Exercises 1 and 2 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 sufficient 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 constructing the scatterplot.



Exercise 1


































X



10



8



13



9



11



14



6



4



12



7



5



y



9.14



8.14



8.74



8.77



9.26



8.10



6.13



3.10



9.13



7.26



4.74




Exercise 2


































X



10



8



13



9



11



14



6



4



12



7



5



y



7.46



6.77



12.74



7.11



7.81



8.84



6.08



5.39



8.15



6.42



5.73




Answered Same DayDec 24, 2021

Answer To: Importance of Graphing. Exercises 1 and 2 provide two data sets from “Graphs in Statistical...

David answered on Dec 24 2021
131 Votes
1)
a)
b)
Correlation: y1, X1

Pearson correlation of y1 and X1 = 0.816
P-Value = 0.002
Ho: correlation coefficient is not significant.
H1: correlation coefficient is significant.
With r = 0816 and p-vlue < 0.05, I reject ho and conclude that correlation coefficient is significant.
c)
from scatter plot I observe that a...
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