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 = 1.1 * weight - 63
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Riis
1
71 kgChiappucci
3
67 kgTafi
4
73 kgVirenque
6
65 kgSkibby
7
70 kgBartoli
8
65 kgElli
9
71 kgDonati
10
75 kgGuidi
12
73 kgMoerenhout
16
74 kgMichaelsen
18
79 kgBreukink
21
70 kgPetito
24
78 kgAldag
26
75 kgTchmil
29
75 kgBallerini
30
78 kgEkimov
31
69 kgBölts
32
73 kgPiziks
35
70 kg
1
71 kgChiappucci
3
67 kgTafi
4
73 kgVirenque
6
65 kgSkibby
7
70 kgBartoli
8
65 kgElli
9
71 kgDonati
10
75 kgGuidi
12
73 kgMoerenhout
16
74 kgMichaelsen
18
79 kgBreukink
21
70 kgPetito
24
78 kgAldag
26
75 kgTchmil
29
75 kgBallerini
30
78 kgEkimov
31
69 kgBölts
32
73 kgPiziks
35
70 kg
Weight (KG) →
Result →
79
65
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIIS Bjarne | 71 |
| 3 | CHIAPPUCCI Claudio | 67 |
| 4 | TAFI Andrea | 73 |
| 6 | VIRENQUE Richard | 65 |
| 7 | SKIBBY Jesper | 70 |
| 8 | BARTOLI Michele | 65 |
| 9 | ELLI Alberto | 71 |
| 10 | DONATI Massimo | 75 |
| 12 | GUIDI Fabrizio | 73 |
| 16 | MOERENHOUT Koos | 74 |
| 18 | MICHAELSEN Lars | 79 |
| 21 | BREUKINK Erik | 70 |
| 24 | PETITO Roberto | 78 |
| 26 | ALDAG Rolf | 75 |
| 29 | TCHMIL Andrei | 75 |
| 30 | BALLERINI Franco | 78 |
| 31 | EKIMOV Viatcheslav | 69 |
| 32 | BÖLTS Udo | 73 |
| 35 | PIZIKS Arvis | 70 |