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ew plant ferilizer gathered data about the quantity of fertilizer ganize the data in a scater plot and find the line of best fit.
ationship between grams of fertilizer, $x$, and the number of lemons, $y$, is modeled by the equation $y=0.316 x+12$. at for the data is 0.948.
st fit be used to make reliable predictions?
ecause the slope of the line is closer to 0 than to 1 , which indicates a weak association between the variables.
ecause the correlation coefficient is closer to 1 than to 0 , which indicates a weak association between the variables.
Decause the slope of the line is closer to 0 than to 1 , which indicates a strong association between the variables.
because the correlation coefficient is closer to 1 than to 0 , which indicates a strong association between the variables.
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Answer
\(\boxed{\text{Final Answer: The line of best fit can be used to make reliable predictions because the correlation coefficient is closer to 1 than to 0, which indicates a strong association between the variables.}}\)
Step 1 ：The relationship between grams of fertilizer, \(x\), and the number of lemons, \(y\), is modeled by the equation \(y=0.316 x+12\).
Step 2 ：The correlation coefficient for the data is 0.948.
Step 3 ：The line of best fit can be used to make reliable predictions because the correlation coefficient is closer to 1 than to 0, which indicates a strong association between the variables.
Step 4 ：\(\boxed{\text{Final Answer: The line of best fit can be used to make reliable predictions because the correlation coefficient is closer to 1 than to 0, which indicates a strong association between the variables.}}\)
