Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in °F. Construct a scatterplot, and find the value of the linear correlation coefficient r. Is there sufficient evidence to conclude that there is a linear correlation between the number of chirps in 1 minute and the temperature? Use a significance level of α = 0.05. Chirps in 1 min Temperature (°F) A 1500 50 100 Temperature (°F) 881 70.6 A. Ho: p=0 H₁: p#0 OC. Ho: p=0 H₁: p<0 1181 92 1113 850 83.9 76.1 1500- 50 What are the null and alternative hypotheses? 58 Chirps The linear correlation coefficient r is. 100 1 min 1195 1019 956 88.5 82.1 72.8 ... A 1500- M 100 Temperature (°F) 50 B. Ho: p=0 H₁: p>0 OD. Ho: p‡0 H₁: p=0 900 78.6 1500+ 50 100 Chirps in 1 min Q
Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in °F. Construct a scatterplot, and find the value of the linear correlation coefficient r. Is there sufficient evidence to conclude that there is a linear correlation between the number of chirps in 1 minute and the temperature? Use a significance level of α = 0.05. Chirps in 1 min Temperature (°F) A 1500 50 100 Temperature (°F) 881 70.6 A. Ho: p=0 H₁: p#0 OC. Ho: p=0 H₁: p<0 1181 92 1113 850 83.9 76.1 1500- 50 What are the null and alternative hypotheses? 58 Chirps The linear correlation coefficient r is. 100 1 min 1195 1019 956 88.5 82.1 72.8 ... A 1500- M 100 Temperature (°F) 50 B. Ho: p=0 H₁: p>0 OD. Ho: p‡0 H₁: p=0 900 78.6 1500+ 50 100 Chirps in 1 min Q
MATLAB: An Introduction with Applications
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Please round 3 decimals ))()()((&$$$
![Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in °F. Construct a
scatterplot, and find the value of the linear correlation coefficient r. Is there sufficient evidence to conclude that there is a
linear correlation between the number of chirps in 1 minute and the temperature? Use a significance level of α = 0.05.
881
Chirps in 1 min
Temperature (°F) 70.6
Chirps in 1 min
A
1500-
0-
50
100
Temperature (°F)
A. Ho: p=0
H₁: p#0
O
C. Ho: p=0
H₁: p<0
1181 1113 850 1195 1019 956
76.1 88.5 82.1 72.8
92
83.9
Temperature (°F)
1500
0-
The linear correlation coefficient r is
50
What are the null and alternative hypotheses?
bi
100
Chirps in 1 min
1500
0-
50
100
Temperature (°F)
B. Ho: p=0
H₁: p>0
D. Ho: p#0
H₁: p=0
900
78.6
1500+
80
0-
50
Chirps in 1 min
100
1,0
S
3
Sc](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb8791599-cb6a-4fa9-9f99-a1a2c63a3cfe%2Fad63059e-dbb2-4b87-aa54-449a6197f32c%2Ffkuydw_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in °F. Construct a
scatterplot, and find the value of the linear correlation coefficient r. Is there sufficient evidence to conclude that there is a
linear correlation between the number of chirps in 1 minute and the temperature? Use a significance level of α = 0.05.
881
Chirps in 1 min
Temperature (°F) 70.6
Chirps in 1 min
A
1500-
0-
50
100
Temperature (°F)
A. Ho: p=0
H₁: p#0
O
C. Ho: p=0
H₁: p<0
1181 1113 850 1195 1019 956
76.1 88.5 82.1 72.8
92
83.9
Temperature (°F)
1500
0-
The linear correlation coefficient r is
50
What are the null and alternative hypotheses?
bi
100
Chirps in 1 min
1500
0-
50
100
Temperature (°F)
B. Ho: p=0
H₁: p>0
D. Ho: p#0
H₁: p=0
900
78.6
1500+
80
0-
50
Chirps in 1 min
100
1,0
S
3
Sc
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