Questions: correlation using the level r>0.9.
- Σx=40
- (Σx)^2=1600
- Σy=50
- (Σy)^2=2500
- Σxy=600
- Σx^2=470
- Σy^2=750
- n=4
r=(n(Σxy)-(Σx)(Σy))/sqrt([n Σx^2-(Σx)^2][n Σy^2-(Σy)^2])
A. r= Round this to two decimals.
B. The strength is (type strong or weak) and the direction is (type positive or negative)
Transcript text: correlation using the level $|\mathrm{r}|>0.9$.
- $\Sigma x=40$
- $(\Sigma x)^{2}=1600$
- $\Sigma y=50$
- $(\Sigma y)^{2}=2500$
- $\Sigma x y=600$
- $\Sigma x^{2}=470$
- $\Sigma y^{2}=750$
- $n=4$
$r=\frac{n(\Sigma x y)-(\Sigma x)(\Sigma y)}{\sqrt{\left[n \sum x^{2}-\left(\sum x\right)^{2}\right]\left[n \sum y^{2}-\left(\sum y\right)^{2}\right]}}$
A. $r=$ $\square$ Round this to two decimals.
B. The strength is (type strong or weak) $\square$ and the direction is (type positive or negative) $\square$
Solution
Solution Steps
Step 1: Calculate the Correlation Coefficient
Using the provided data, we calculate the correlation coefficient \( r \) using the formula: