24. Crickets and Temperature One classic application of correlation involves the associa- tion between the temperature and the number of times a cricket chirps in a minute. Listed below are the numbers of chirps in 1 min and the corresponding temperatures in °F (based on data from The Song of Insects by George W. Pierce, Harvard University Press). Is there suf- ficient evidence to conclude that there is a linear correlation between the number of chirps in 1 min and the temperature? Chirps in 1 min 882 1188 1104 864 1200 1032 960 900 Temperature (°F) 69.7 93.3 84.3 76.3 88.6 82.6 71.6 79.6

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24. Crickets and Temperature One classic application of correlation involves the associa-
tion between the temperature and the number of times a cricket chirps in a minute. Listed
below are the numbers of chirps in 1 min and the corresponding temperatures in °F (based
on data from The Song of Insects by George W. Pierce, Harvard University Press). Is there suf-
ficient evidence to conclude that there is a linear correlation between the number of chirps in
1 min and the temperature?
Chirps in 1 min
882
1188
1104
864
1200
1032
960
900
Temperature (°F)
69.7
93.3
84.3
76.3
88.6
82.6
71.6
79.6
Transcribed Image Text:24. Crickets and Temperature One classic application of correlation involves the associa- tion between the temperature and the number of times a cricket chirps in a minute. Listed below are the numbers of chirps in 1 min and the corresponding temperatures in °F (based on data from The Song of Insects by George W. Pierce, Harvard University Press). Is there suf- ficient evidence to conclude that there is a linear correlation between the number of chirps in 1 min and the temperature? Chirps in 1 min 882 1188 1104 864 1200 1032 960 900 Temperature (°F) 69.7 93.3 84.3 76.3 88.6 82.6 71.6 79.6
Testing fora Linear Correlation.
find the value of the linear correlation coefficient r. Also find the P-value or the critical
values of r from Table A-6 using a = 0.05. Determine whether there is sufficient evidence
to support a claim of a linear correlation between the two variables. (Save your work
because the same data sets will be used in Section 10-3 exercises.)
In Exercises 13-28, construct a scatterplot, and
Transcribed Image Text:Testing fora Linear Correlation. find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6 using a = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-3 exercises.) In Exercises 13-28, construct a scatterplot, and
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