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. $$\begin{array} { c | c }
\begin{array} { c }
\text { Rainfall } \
( \mathrm { mm } )
\end{array} & \begin{array} { c }
\text { Wheat Yield } \
\text { (bushels per acre) }
\end{array} \
\hline 11.9 & 61.8 \
8 & 26.4 \
11.6 & 51.2 \
18.4 & 79.1 \
9 & 41.5 \
10.9 & 42.9 \
15.1 & 71 \
13.5 & 54.6
\end{array}$$
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. $$\begin{array} { c | c } 
\begin{array} { c } 
\text { Rainfall } \
( \mathrm { mm } )
\end{array} & \begin{array} { c } 
\text { Wheat Yield } \
\text { (bushels per acre) }
\end{array} \
\hline 11.9 & 61.8 \
8 & 26.4 \
11.6 & 51.2 \
18.4 & 79.1 \
9 & 41.5 \
10.9 & 42.9 \
15.1 & 71 \
13.5 & 54.6
\end{array}$$
A)0.932
B)0.943
C)0.952
D)0.942
E)0.941

Quizplus · Accepted Answer

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.

A Scientist Collects Data to Predict the Wheat Yield (In