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The following table shows a sample dataset of observation values of an independent variable, Age, and a dependent variable, number of toys Age 5 3 6 3 4 4 6 8 Toys 13 15 7 12 13 11 9 5 Select the best interpretation of the relationship between Age and Toys based on their computed correlation correlation

User Brigadir
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Based on the correlation coefficient value obtained, "There is a strong negative relationship between Age and Toys." Hence, option A is correct.

Using the data given, we can determine the correlation coefficient for the relationship between Age and Toys using a graphing calculator.

From the calculator, the correlation coefficient, 'r' value obtained is "-0.89"

A negative value coefficient infers that a negative relationship exists between the variables. Also, since the 'r value' is close to -1, then the relationship is strong.

Hence, a strong negative relationship exists between Age and Toys.

The following table shows a sample dataset of observation values of an independent-example-1
The following table shows a sample dataset of observation values of an independent-example-2
User Fredrik Andersson
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