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 = 0.8 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Carstensen
2
69 kgvan Engelen
3
51 kgChaiyasombat
4
58 kgSirironnachai
5
61 kgSexton
6
71 kgLakasek
7
71 kgCahyadi
8
52 kgDe Rossi
11
70 kgBudyak
15
53 kgChawchiangkwang
16
64 kgClark
26
68 kgSu
31
64 kgKergozou De La Boessiere
32
74 kgOthman
45
57 kgTzortzakis
59
80 kg
2
69 kgvan Engelen
3
51 kgChaiyasombat
4
58 kgSirironnachai
5
61 kgSexton
6
71 kgLakasek
7
71 kgCahyadi
8
52 kgDe Rossi
11
70 kgBudyak
15
53 kgChawchiangkwang
16
64 kgClark
26
68 kgSu
31
64 kgKergozou De La Boessiere
32
74 kgOthman
45
57 kgTzortzakis
59
80 kg
Weight (KG) →
Result →
80
51
2
59
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CARSTENSEN Lucas | 69 |
| 3 | VAN ENGELEN Adne | 51 |
| 4 | CHAIYASOMBAT Thanakhan | 58 |
| 5 | SIRIRONNACHAI Sarawut | 61 |
| 6 | SEXTON Tom | 71 |
| 7 | LAKASEK Irwandie | 71 |
| 8 | CAHYADI Aiman | 52 |
| 11 | DE ROSSI Lucas | 70 |
| 15 | BUDYAK Anatoliy | 53 |
| 16 | CHAWCHIANGKWANG Peerapol | 64 |
| 26 | CLARK Boris | 68 |
| 31 | SU Haoyu | 64 |
| 32 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 45 | OTHMAN Muhamad Afiq Husaine | 57 |
| 59 | TZORTZAKIS Polychronis | 80 |