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 = 0.4 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Koerts
1
78 kgDegano
2
68 kgBettini
3
58 kgFraser
4
71 kgUsov
5
63 kgStrazzer
6
68 kgWrolich
10
68 kgMori
11
77 kgVoigt
13
76 kgAggiano
14
63 kgPankov
15
72 kgNaudužs
19
78 kgZargari
21
62 kgFlecha
22
72 kgHorrillo
24
76 kgHinault
25
63 kgHorner
30
70 kgMiller
31
72 kgVogels
33
75 kgSandstød
35
74 kg
1
78 kgDegano
2
68 kgBettini
3
58 kgFraser
4
71 kgUsov
5
63 kgStrazzer
6
68 kgWrolich
10
68 kgMori
11
77 kgVoigt
13
76 kgAggiano
14
63 kgPankov
15
72 kgNaudužs
19
78 kgZargari
21
62 kgFlecha
22
72 kgHorrillo
24
76 kgHinault
25
63 kgHorner
30
70 kgMiller
31
72 kgVogels
33
75 kgSandstød
35
74 kg
Weight (KG) →
Result →
78
58
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOERTS Jans | 78 |
| 2 | DEGANO Enrico | 68 |
| 3 | BETTINI Paolo | 58 |
| 4 | FRASER Gordon | 71 |
| 5 | USOV Alexandre | 63 |
| 6 | STRAZZER Massimo | 68 |
| 10 | WROLICH Peter | 68 |
| 11 | MORI Massimiliano | 77 |
| 13 | VOIGT Jens | 76 |
| 14 | AGGIANO Elio | 63 |
| 15 | PANKOV Oleg | 72 |
| 19 | NAUDUŽS Andris | 78 |
| 21 | ZARGARI Amir | 62 |
| 22 | FLECHA Juan Antonio | 72 |
| 24 | HORRILLO Pedro | 76 |
| 25 | HINAULT Sébastien | 63 |
| 30 | HORNER Chris | 70 |
| 31 | MILLER Graeme | 72 |
| 33 | VOGELS Henk | 75 |
| 35 | SANDSTØD Michael | 74 |