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 = 0.5 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Thalmann
1
61 kgVan Eetvelt
2
63 kgRüegg
3
66 kgPickering
4
55 kgMoreno
5
56 kgStüssi
6
68 kgSander Hansen
7
68 kgJegat
8
59 kgThompson
9
66 kgDinham
10
63 kgVan Niekerk
11
64 kgKretschy
12
63 kgKluckers
13
71 kgRolland
14
59 kgMaris
15
64 kgDebeaumarché
16
75 kgGloag
17
60 kgMiles
18
64 kgRossetto
19
68 kgMariault
23
58 kgJenner
24
64 kgRüegg
26
66 kgPollefliet
29
74 kg
1
61 kgVan Eetvelt
2
63 kgRüegg
3
66 kgPickering
4
55 kgMoreno
5
56 kgStüssi
6
68 kgSander Hansen
7
68 kgJegat
8
59 kgThompson
9
66 kgDinham
10
63 kgVan Niekerk
11
64 kgKretschy
12
63 kgKluckers
13
71 kgRolland
14
59 kgMaris
15
64 kgDebeaumarché
16
75 kgGloag
17
60 kgMiles
18
64 kgRossetto
19
68 kgMariault
23
58 kgJenner
24
64 kgRüegg
26
66 kgPollefliet
29
74 kg
Weight (KG) →
Result →
75
55
1
29
# | Rider | Weight (KG) |
---|---|---|
1 | THALMANN Roland | 61 |
2 | VAN EETVELT Lennert | 63 |
3 | RÜEGG Timon | 66 |
4 | PICKERING Finlay | 55 |
5 | MORENO Iván | 56 |
6 | STÜSSI Colin | 68 |
7 | SANDER HANSEN Marcus | 68 |
8 | JEGAT Jordan | 59 |
9 | THOMPSON Reuben | 66 |
10 | DINHAM Matthew | 63 |
11 | VAN NIEKERK Morné | 64 |
12 | KRETSCHY Moritz | 63 |
13 | KLUCKERS Arthur | 71 |
14 | ROLLAND Brieuc | 59 |
15 | MARIS Elias | 64 |
16 | DEBEAUMARCHÉ Nicolas | 75 |
17 | GLOAG Thomas | 60 |
18 | MILES Carson | 64 |
19 | ROSSETTO Stéphane | 68 |
23 | MARIAULT Axel | 58 |
24 | JENNER Samuel | 64 |
26 | RÜEGG Lukas | 66 |
29 | POLLEFLIET Gianluca | 74 |