a) negative correlation b) positive correlation c) no correlation Determine the linear correlation coefficient. In an area of the Great Plains, records were kept on the relationship between the rainfall (in inches) and the yield of wheat (bushels per acre). Calculate the linear correlation coefficient. 4. Rainfall (in inches), x 9.4 7.7 12.3 | 11.4 | 177 9.2 59 145 149 Yeld (bushels per acre. y 46.5 42.2 548 55 78.4 45.2 27.9 72 748 a) 0.981 b) 0.998 c) 0.899 d) 0.900
a) negative correlation b) positive correlation c) no correlation Determine the linear correlation coefficient. In an area of the Great Plains, records were kept on the relationship between the rainfall (in inches) and the yield of wheat (bushels per acre). Calculate the linear correlation coefficient. 4. Rainfall (in inches), x 9.4 7.7 12.3 | 11.4 | 177 9.2 59 145 149 Yeld (bushels per acre. y 46.5 42.2 548 55 78.4 45.2 27.9 72 748 a) 0.981 b) 0.998 c) 0.899 d) 0.900
MATLAB: An Introduction with Applications
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
Transcribed Image Text:a) negative correlation
b) positive correlation
c) no correlation
Determine the linear correlation coefficient.
In an area of the Great Plains, records were kept on the relationship between the rainfall (in inches)
and the yield of wheat (bushels per acre). Calculate the linear correlation coefficient.
4.
Rainfall (in inches), x
9.4
7.7 12.3 | 11.4 | 177
9.2
59
145
149
Yeld (bushels per acre. y
46.5
42.2 548
55
78.4
45.2
27.9
72
748
a) 0.981
b) 0.998
c) 0.899
d) 0.900
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