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 = 0.4 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Azman
1
57 kgKoishi
6
62 kgCahyadi
9
52 kgAso
12
67 kgChoe
15
63 kgManulang
18
59 kg
1
57 kgKoishi
6
62 kgCahyadi
9
52 kgAso
12
67 kgChoe
15
63 kgManulang
18
59 kg
Weight (KG) →
Result →
67
52
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AZMAN Muhamad Zawawi | 57 |
| 6 | KOISHI Yuma | 62 |
| 9 | CAHYADI Aiman | 52 |
| 12 | ASO Keisuke | 67 |
| 15 | CHOE Hyeong Min | 63 |
| 18 | MANULANG Robin | 59 |