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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Ewan
1
69 kgSagan
2
78 kgHaas
3
71 kgViviani
4
67 kgClarke
5
81 kgGreipel
6
80 kgImpey
7
72 kgMcCarthy
8
63 kgConsonni
9
60 kgBauhaus
10
75 kgIzagirre
11
66 kgPozzovivo
12
53 kgMontaguti
13
65 kgSánchez
14
73 kgNavardauskas
15
79 kgBarbero
16
66 kgMinali
17
74 kgDlamini
18
66 kgCastrillo
19
65 kgBowden
20
65 kgRestrepo
21
73 kg
1
69 kgSagan
2
78 kgHaas
3
71 kgViviani
4
67 kgClarke
5
81 kgGreipel
6
80 kgImpey
7
72 kgMcCarthy
8
63 kgConsonni
9
60 kgBauhaus
10
75 kgIzagirre
11
66 kgPozzovivo
12
53 kgMontaguti
13
65 kgSánchez
14
73 kgNavardauskas
15
79 kgBarbero
16
66 kgMinali
17
74 kgDlamini
18
66 kgCastrillo
19
65 kgBowden
20
65 kgRestrepo
21
73 kg
Weight (KG) →
Result →
81
53
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EWAN Caleb | 69 |
| 2 | SAGAN Peter | 78 |
| 3 | HAAS Nathan | 71 |
| 4 | VIVIANI Elia | 67 |
| 5 | CLARKE Will | 81 |
| 6 | GREIPEL André | 80 |
| 7 | IMPEY Daryl | 72 |
| 8 | MCCARTHY Jay | 63 |
| 9 | CONSONNI Simone | 60 |
| 10 | BAUHAUS Phil | 75 |
| 11 | IZAGIRRE Gorka | 66 |
| 12 | POZZOVIVO Domenico | 53 |
| 13 | MONTAGUTI Matteo | 65 |
| 14 | SÁNCHEZ Luis León | 73 |
| 15 | NAVARDAUSKAS Ramūnas | 79 |
| 16 | BARBERO Carlos | 66 |
| 17 | MINALI Riccardo | 74 |
| 18 | DLAMINI Nic | 66 |
| 19 | CASTRILLO Jaime | 65 |
| 20 | BOWDEN Scott | 65 |
| 21 | RESTREPO Jhonatan | 73 |