A scientist collects data to predict the wheat yield (in bushels per acre) based on rainfall (in millimetres) .The results are recorded in the table below. $11.961.8826.411.651.218.479.1941.510.942.915.17113.554.6\begin{array} { c | c } \begin{array} { c } \text { Rainfall } \\( \mathrm { mm } ) \end{array} & \begin{array} { c } \text { Wheat Yield } \\\text { (bushels per acre) }\end{array} \\\hline 11.9 & 61.8 \\8 & 26.4 \\11.6 & 51.2 \\18.4 & 79.1 \\9 & 41.5 \\10.9 & 42.9 \\15.1 & 71 \\13.5 & 54.6\end{array}$

A) 0.932
B) 0.943
C) 0.952
D) 0.942
E) 0.941

Question

A scientist collects data to predict the wheat yield (in bushels per acre) based on rainfall (in millimetres) .The results are recorded in the table below.

11.961.8826.411.651.218.479.1941.510.942.915.17113.554.6\begin{array} { c | c } \begin{array} { c } \text { Rainfall } \\( \mathrm { mm } ) \end{array} & \begin{array} { c } \text { Wheat Yield } \\\text { (bushels per acre) }\end{array} \\\hline 11.9 & 61.8 \\8 & 26.4 \\11.6 & 51.2 \\18.4 & 79.1 \\9 & 41.5 \\10.9 & 42.9 \\15.1 & 71 \\13.5 & 54.6\end{array}

A) 0.932
B) 0.943
C) 0.952
D) 0.942
E) 0.941

Trystin Ingram · Accepted Answer

Final Answer : D, Explanation :  The correlation coefficient is a measure of the strength of the linear relationship between two variables. It can range from -1 to 1, where -1 indicates a perfect negative relationship, 0 indicates no relationship, and 1 indicates a perfect positive relationship.In this case, the correlation coefficient between rainfall and wheat yield is 0.942, which indicates a strong positive relationship. This means that as rainfall increases, wheat yield also tends to increase.

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