select the correct answer.\nthe developer of a new plant fertilizer gathered data about the quantity of…

select the correct answer.\nthe 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.\nhe 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.\ncould this line of best fit be used to make reliable predictions?\na. no, because the slope of the line is closer to 0 than to 1, which indicates a weak association between the variables.\nb. no, because the correlation coefficient is closer to 1 than to 0, which indicates a weak association between the variables.\nc. yes, because the slope of the line is closer to 0 than to 1, which indicates a strong association between the variables.\nd. yes, because the correlation coefficient is closer to 1 than to 0, which indicates a strong association between the variables.\nreset next

select the correct answer.\nthe 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.\nhe 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.\ncould this line of best fit be used to make reliable predictions?\na. no, because the slope of the line is closer to 0 than to 1, which indicates a weak association between the variables.\nb. no, because the correlation coefficient is closer to 1 than to 0, which indicates a weak association between the variables.\nc. yes, because the slope of the line is closer to 0 than to 1, which indicates a strong association between the variables.\nd. yes, because the correlation coefficient is closer to 1 than to 0, which indicates a strong association between the variables.\nreset next

Answer

Brief Explanations:

The correlation coefficient (r) measures the strength and direction of a linear relationship between two variables. A value of r close to 1 or - 1 indicates a strong linear relationship, while a value close to 0 indicates a weak linear relationship. Here, the correlation coefficient is 0.948 which is close to 1, suggesting a strong association between the quantity of fertilizer and the number of lemons. So the line of best - fit can be used for reliable predictions.

Answer:

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