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 = -5.3 * weight + 456
This means that on average for every extra kilogram weight a rider loses -5.3 positions in the result.
Merlier
1
76 kgDémare
2
76 kgZingle
3
67 kgKielich
4
73 kgPedersen
6
76 kgDainese
7
70 kgvan Dijke
8
74 kgMolano
9
72 kgKristoff
10
78 kgFedorov
11
80 kgNarváez
12
65 kgAbrahamsen
13
78 kgJorgenson
14
69 kgGovekar
15
73 kgAlbanese
16
70 kgJakobsen
17
78 kgWalscheid
18
90 kgBol
19
83 kgSheffield
20
73 kgPage
991
71 kg
1
76 kgDémare
2
76 kgZingle
3
67 kgKielich
4
73 kgPedersen
6
76 kgDainese
7
70 kgvan Dijke
8
74 kgMolano
9
72 kgKristoff
10
78 kgFedorov
11
80 kgNarváez
12
65 kgAbrahamsen
13
78 kgJorgenson
14
69 kgGovekar
15
73 kgAlbanese
16
70 kgJakobsen
17
78 kgWalscheid
18
90 kgBol
19
83 kgSheffield
20
73 kgPage
991
71 kg
Weight (KG) →
Result →
90
65
1
991
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERLIER Tim | 76 |
| 2 | DÉMARE Arnaud | 76 |
| 3 | ZINGLE Axel | 67 |
| 4 | KIELICH Timo | 73 |
| 6 | PEDERSEN Mads | 76 |
| 7 | DAINESE Alberto | 70 |
| 8 | VAN DIJKE Mick | 74 |
| 9 | MOLANO Juan Sebastián | 72 |
| 10 | KRISTOFF Alexander | 78 |
| 11 | FEDOROV Yevgeniy | 80 |
| 12 | NARVÁEZ Jhonatan | 65 |
| 13 | ABRAHAMSEN Jonas | 78 |
| 14 | JORGENSON Matteo | 69 |
| 15 | GOVEKAR Matevž | 73 |
| 16 | ALBANESE Vincenzo | 70 |
| 17 | JAKOBSEN Fabio | 78 |
| 18 | WALSCHEID Max | 90 |
| 19 | BOL Cees | 83 |
| 20 | SHEFFIELD Magnus | 73 |
| 991 | PAGE Hugo | 71 |