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The developer of a new plant fertilizer gathered data about the quantity of fertilizer applied to a lemon tree and the number of lemons it
produced. He used a graphing tool to organize the data in a scatter plot and find the line of best fit.
He found that the relationship between grams of fertilizer, x, and the number of lemons, y, Is modeled by the equation y=0.316x + 12.214, and
the correlation coefficient for the data is 0.948.
Could this line of best fit be used to make reliable predictions?

Respuesta :

jvande

Answer:

D. Yes, because the correlation coefficient is closer to 1 than to 0, which indicates a strong association between the variables.

Step-by-step explanation:

PLATO

ashishdwivedilVT

The given model shows stronger correlation between x and y.

What is Correlation?

The correlation between variable is related to the magnitude of the absolute value of correlation coefficient. The close to absolute value gets to 1, the stronger the correlation and closer to get it to zero, the weaker correlation.

Here, the given model

y = 0.316x + 12.214

The coefficient of correlation r = 0.948

which is near to 1.

Thus, the given model shows stronger correlation between x and y.

Learn more about Correlation from:

https://brainly.com/question/6563788

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