Underinflated or overinflated tires can increase tire wear and decrease gas mileage. A manufacturer of a new tire tested the tire for wear at different pressures. Construct scatterplot and calculate Pearson correlation coefficient. The researcher for this study calculated a Pearson correlation coefficient and concluded no relationship existed between the two variables. Was he correct in his conclusion?
Pressure |
Mileage(thous) |
30 |
29.5 |
30 |
30.2 |
31 |
32.1 |
31 |
34.5 |
32 |
36.3 |
32 |
35 |
33 |
38.2 |
33 |
37.6 |
34 |
37.7 |
34 |
36.1 |
35 |
33.6 |
35 |
34.2 |
36 |
26.8 |
36 |
27.4 |
Above is the scatterplot of the data.
The person correlation coefficient = -0.1137.
Pearson correlation coefficient only measures the srength of linear relationship. The linear relationship between variables is almost non-existent as the pearson correlation coefficient is close to 0. However, from the scatterplot, we can see that there is still some relationship between the 2 variables which is non-linear or rather circular in nature. Hence, the researcher is wrong.
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