Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Azman
2
57 kgEyob
3
61 kgCahyadi
4
52 kgGoh
6
54 kgKoishi
9
62 kgManulang
10
59 kgAso
13
67 kg
2
57 kgEyob
3
61 kgCahyadi
4
52 kgGoh
6
54 kgKoishi
9
62 kgManulang
10
59 kgAso
13
67 kg
Weight (KG) →
Result →
67
52
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AZMAN Muhamad Zawawi | 57 |
| 3 | EYOB Metkel | 61 |
| 4 | CAHYADI Aiman | 52 |
| 6 | GOH Choon Huat | 54 |
| 9 | KOISHI Yuma | 62 |
| 10 | MANULANG Robin | 59 |
| 13 | ASO Keisuke | 67 |