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The table shows the number of calories in four meals and the cost of each meal.

Cost of Meal and Number of Calories

\begin{tabular}{|c|c|}
\hline
\begin{tabular}{c}
Number of calories \\
in the meal
\end{tabular} & \begin{tabular}{c}
Cost of \\
the meal
\end{tabular} \\
\hline
550 & [tex]$\$[/tex] 12$ \\
\hline
1,250 & [tex]$\$[/tex] 11$ \\
\hline
780 & [tex]$\$[/tex] 13$ \\
\hline
650 & [tex]$\$[/tex] 10$ \\
\hline
\end{tabular}

Which best describes the strength of the model?

A. A weak positive correlation
B. A strong positive correlation
C. A weak negative correlation
D. A strong negative correlation


Sagot :

To determine the strength and direction of the correlation between the number of calories and the cost of the meals, we first calculate the correlation coefficient. The correlation coefficient ranges from -1 to 1:
- A value near 1 indicates a strong positive correlation.
- A value near -1 indicates a strong negative correlation.
- A value near 0 indicates no correlation.

Given the calculated correlation coefficient, \(-0.1292396089051281\), we can analyze its strength and direction:

1. Direction:
- The correlation coefficient is negative \(-0.1292396089051281 < 0\), indicating a negative correlation between the number of calories in the meal and the cost of the meal.

2. Strength:
- We determine the strength of correlation with the following thresholds:
- If the absolute value of the correlation coefficient \(|r|\) is between 0.7 and 1.0, the correlation is strong.
- If \(|r|\) is between 0.3 and 0.7, the correlation is moderate.
- If \(|r|\) is between 0 and 0.3, the correlation is weak.

The absolute value of our correlation coefficient is \( | -0.1292396089051281 | \approx 0.129 \). This value falls within the range of [0, 0.3], indicating a weak correlation.

Therefore, the best description based on the correlation coefficient \(-0.1292396089051281\) is a weak negative correlation.

The correct answer is:
- a weak negative correlation
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