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Question
a random sample of beef hotdogs was taken and the amount of sodium (in mg) and calories were measured. the data are in the table. find the correlation coefficient and coefficient of determination and then interpret both.
calories and sodium levels in beef hotdogs
| calories | sodium |
|---|---|
| 140 | 374 |
| 168 | 476 |
| 176 | 508 |
| 163 | 411 |
| 174 | 608 |
| 117 | 235 |
| 136 | 388 |
| 171 | 435 |
the correlation coefficient is r = (round to five decimal places), which is a select an answer, select an answer correlation.
the coefficient of determination is r² = (round to four decimal places), so % of the variability in the amount of sodium in beef hotdogs is explained by the number of calories.
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Step1: Calculate means
Let $x$ be calories and $y$ be sodium.
$n = 9$
$\bar{x}=\frac{166 + 140+168+176+163+174+117+136+171}{9}=\frac{1311}{9}\approx145.6667$
$\bar{y}=\frac{375 + 374+476+508+411+608+235+388+435}{9}=\frac{3800}{9}\approx422.2222$
Step2: Calculate numerator and denominator components
Calculate $(x_i-\bar{x})(y_i - \bar{y})$, $(x_i-\bar{x})^2$ and $(y_i - \bar{y})^2$ for each $i$ from $1$ to $9$.
Sum of $(x_i-\bar{x})(y_i - \bar{y})$:
Sum of $(x_i-\bar{x})^2$:
Sum of $(y_i - \bar{y})^2$:
Step3: Calculate correlation coefficient $r$
The formula for the correlation coefficient $r$ is $r=\frac{\sum_{i = 1}^{n}(x_i-\bar{x})(y_i - \bar{y})}{\sqrt{\sum_{i=1}^{n}(x_i - \bar{x})^2\sum_{i = 1}^{n}(y_i - \bar{y})^2}}$
Since $r\approx0.80210>0$, it is a positive correlation.
Step4: Calculate coefficient of determination $r^2$
$r^2=(0.80210)^2\approx0.6434$
The coefficient of determination $r^2$ means that approximately $64.34\%$ of the variability in the amount of sodium in beef hot - dogs is explained by the number of calories.
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The correlation coefficient is $r = 0.80210$, which is a positive correlation.
The coefficient of determination is $r^2=0.6434$, so $64.34\%$ of the variability in the amount of sodium in beef hotdogs is explained by the number of calories.