what is the correlation coefficient for the data shown in the table?\n0 0\n1 1\n4 4\n5 5\n0\n1\n4\n5

what is the correlation coefficient for the data shown in the table?\n0 0\n1 1\n4 4\n5 5\n0\n1\n4\n5

what is the correlation coefficient for the data shown in the table?\n0 0\n1 1\n4 4\n5 5\n0\n1\n4\n5

Answer

Explanation:

Step1: Recall correlation coefficient formula

The correlation coefficient $r=\frac{\sum_{i = 1}^{n}(x_i-\bar{x})(y_i - \bar{y})}{\sqrt{\sum_{i=1}^{n}(x_i-\bar{x})^2\sum_{i = 1}^{n}(y_i-\bar{y})^2}}$. First, find the means of $x$ and $y$. For $x$ - values $x = {0,1,4,5}$, $\bar{x}=\frac{0 + 1+4+5}{4}=\frac{10}{4}=2.5$. For $y$ - values $y={0,1,4,5}$, $\bar{y}=\frac{0 + 1+4+5}{4}=2.5$.

Step2: Calculate numerator

$(0 - 2.5)(0 - 2.5)+(1 - 2.5)(1 - 2.5)+(4 - 2.5)(4 - 2.5)+(5 - 2.5)(5 - 2.5)$ $=(- 2.5)\times(-2.5)+(-1.5)\times(-1.5)+1.5\times1.5 + 2.5\times2.5$ $=6.25+2.25 + 2.25+6.25=17$.

Step3: Calculate denominator - part 1

$(0 - 2.5)^2+(1 - 2.5)^2+(4 - 2.5)^2+(5 - 2.5)^2$ $=(-2.5)^2+(-1.5)^2+1.5^2+2.5^2$ $=6.25 + 2.25+2.25+6.25 = 17$.

Step4: Calculate denominator - part 2

It is the same as part 1 since $x$ and $y$ values are identical, so $\sum_{i = 1}^{n}(y_i-\bar{y})^2 = 17$. The denominator $\sqrt{17\times17}=17$.

Step5: Calculate correlation coefficient

$r=\frac{17}{17}=1$.

Answer:

B. 1