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A Study Examined the Number of Trees in a Variety

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A study examined the number of trees in a variety of orange groves and the corresponding number of oranges that each
grove produces in a given harvest year. Linear regression was calculated and the results are below.
linear regression results:
Dependent Variable: oranges
Independent Variable: trees
Sample size: 9
R-sq = 0.886
s = 31394.7
-  Parameter Estimate  Std. Err.  Constant 390.5916328.8 Trees 525.8471.22\begin{array}{|l|r|r|}\hline \text { Parameter} & \text { Estimate }& \text { Std. Err. } \\\hline \text { Constant }& 390.59 & 16328.8 \\\hline \text { Trees }& 525.84 & 71.22 \\\hline\end{array}
 A study examined the number of trees in a variety of orange groves and the corresponding number of oranges that each grove produces in a given harvest year. Linear regression was calculated and the results are below. linear regression results: Dependent Variable: oranges Independent Variable: trees Sample size: 9 R-sq = 0.886 s = 31394.7 - \begin{array}{|l|r|r|} \hline   \text { Parameter} &  \text {  Estimate }&  \text { Std. Err. } \\ \hline   \text { Constant }& 390.59 & 16328.8 \\ \hline   \text { Trees }& 525.84 & 71.22 \\ \hline \end{array}     Since   r^{2}   is not 100%, there must be other factors in influencing the number of oranges harvested. What percentage is that and what is another factor you think might be involved?
Since r2 r^{2} is not 100%, there must be other factors in influencing the number of oranges harvested. What percentage is that and what is another factor you think might be involved?

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11.4% of the variation is due ...

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