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 = 0.3 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Ponzi
1
63 kgKocjan
3
72 kgBole
12
69 kgŠpilak
13
68 kgKvasina
14
72 kgVrečer
18
68 kgIsaychev
19
80 kgDe Marchi
20
65 kgBrambilla
21
57 kgKoren
27
72 kgBerdos
30
68 kgKišerlovski
33
72 kgSagan
34
65 kgMahorič
43
68 kgKusztor
48
61 kgStrgar
56
62 kgBodnar
57
77 kgGraf
60
72 kgBelletti
61
72 kg
1
63 kgKocjan
3
72 kgBole
12
69 kgŠpilak
13
68 kgKvasina
14
72 kgVrečer
18
68 kgIsaychev
19
80 kgDe Marchi
20
65 kgBrambilla
21
57 kgKoren
27
72 kgBerdos
30
68 kgKišerlovski
33
72 kgSagan
34
65 kgMahorič
43
68 kgKusztor
48
61 kgStrgar
56
62 kgBodnar
57
77 kgGraf
60
72 kgBelletti
61
72 kg
Weight (KG) →
Result →
80
57
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PONZI Simone | 63 |
| 3 | KOCJAN Jure | 72 |
| 12 | BOLE Grega | 69 |
| 13 | ŠPILAK Simon | 68 |
| 14 | KVASINA Matija | 72 |
| 18 | VREČER Robert | 68 |
| 19 | ISAYCHEV Vladimir | 80 |
| 20 | DE MARCHI Alessandro | 65 |
| 21 | BRAMBILLA Gianluca | 57 |
| 27 | KOREN Kristijan | 72 |
| 30 | BERDOS Oleg | 68 |
| 33 | KIŠERLOVSKI Robert | 72 |
| 34 | SAGAN Juraj | 65 |
| 43 | MAHORIČ Mitja | 68 |
| 48 | KUSZTOR Péter | 61 |
| 56 | STRGAR Matic | 62 |
| 57 | BODNAR Maciej | 77 |
| 60 | GRAF Andreas | 72 |
| 61 | BELLETTI Manuel | 72 |