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}

$A study examined the number of trees in a variety of orange groves and the corresponding number of oranges that each grove produces in a given harvest year. Linear regression was calculated and the results are below. linear regression results: Dependent Variable: oranges Independent Variable: trees Sample size: 9 R-sq = 0.886 s = 31394.7 \begin{array}{|l|r|r|} \hline \text {Parameter }&\text { Estimate} & \text {Std. Err. } \\ \hline\text { Constant} & 390.59 & 16328.8 \\ \hline \text {Trees }& 525.84 & 71.22 \\ \hline \end{array} -If these data were collected in California, would you feel confident in using this equation to make predictions about Florida orange groves also? Explain.$

-If these data were collected in California, would you feel confident in using this equation to make predictions about Florida orange groves also? Explain.

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