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 + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Zberg
1
72 kgDufaux
2
60 kgKonyshev
4
77 kgDekker
8
66 kgPeron
9
70 kgSchur
10
73 kgden Bakker
11
71 kgBerzin
13
64 kgBölts
14
73 kgTotschnig
17
62 kgZanini
18
80 kgVirenque
22
65 kgImboden
28
70 kgStenersen
29
70 kgChiappucci
31
67 kgDonati
35
75 kgRebellin
36
63 kgGontchenkov
37
74 kgTafi
39
73 kg
1
72 kgDufaux
2
60 kgKonyshev
4
77 kgDekker
8
66 kgPeron
9
70 kgSchur
10
73 kgden Bakker
11
71 kgBerzin
13
64 kgBölts
14
73 kgTotschnig
17
62 kgZanini
18
80 kgVirenque
22
65 kgImboden
28
70 kgStenersen
29
70 kgChiappucci
31
67 kgDonati
35
75 kgRebellin
36
63 kgGontchenkov
37
74 kgTafi
39
73 kg
Weight (KG) →
Result →
80
60
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZBERG Beat | 72 |
| 2 | DUFAUX Laurent | 60 |
| 4 | KONYSHEV Dmitry | 77 |
| 8 | DEKKER Erik | 66 |
| 9 | PERON Andrea | 70 |
| 10 | SCHUR Jan | 73 |
| 11 | DEN BAKKER Maarten | 71 |
| 13 | BERZIN Evgeni | 64 |
| 14 | BÖLTS Udo | 73 |
| 17 | TOTSCHNIG Georg | 62 |
| 18 | ZANINI Stefano | 80 |
| 22 | VIRENQUE Richard | 65 |
| 28 | IMBODEN Heinz | 70 |
| 29 | STENERSEN Bjørn | 70 |
| 31 | CHIAPPUCCI Claudio | 67 |
| 35 | DONATI Massimo | 75 |
| 36 | REBELLIN Davide | 63 |
| 37 | GONTCHENKOV Alexander | 74 |
| 39 | TAFI Andrea | 73 |