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 = 1.2 * weight - 40
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Hamburger
1
58 kgZberg
2
72 kgCasagrande
3
64 kgFrigo
4
66 kgJalabert
5
66 kgLuttenberger
7
60 kgElli
8
71 kgBoogerd
9
62 kgGarmendia
10
68 kgGarzelli
12
62 kgBelli
14
64 kgHeras
15
59 kgSavoldelli
16
72 kgZülle
17
72 kgTonkov
40
70 kgVirenque
47
65 kgGotti
48
65 kgChiappucci
67
67 kgOlano
77
70 kgBugno
106
68 kgBerzin
112
64 kgPantani
118
58 kgUllrich
145
73 kg
1
58 kgZberg
2
72 kgCasagrande
3
64 kgFrigo
4
66 kgJalabert
5
66 kgLuttenberger
7
60 kgElli
8
71 kgBoogerd
9
62 kgGarmendia
10
68 kgGarzelli
12
62 kgBelli
14
64 kgHeras
15
59 kgSavoldelli
16
72 kgZülle
17
72 kgTonkov
40
70 kgVirenque
47
65 kgGotti
48
65 kgChiappucci
67
67 kgOlano
77
70 kgBugno
106
68 kgBerzin
112
64 kgPantani
118
58 kgUllrich
145
73 kg
Weight (KG) →
Result →
73
58
1
145
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAMBURGER Bo | 58 |
| 2 | ZBERG Beat | 72 |
| 3 | CASAGRANDE Francesco | 64 |
| 4 | FRIGO Dario | 66 |
| 5 | JALABERT Laurent | 66 |
| 7 | LUTTENBERGER Peter | 60 |
| 8 | ELLI Alberto | 71 |
| 9 | BOOGERD Michael | 62 |
| 10 | GARMENDIA Aitor | 68 |
| 12 | GARZELLI Stefano | 62 |
| 14 | BELLI Wladimir | 64 |
| 15 | HERAS Roberto | 59 |
| 16 | SAVOLDELLI Paolo | 72 |
| 17 | ZÜLLE Alex | 72 |
| 40 | TONKOV Pavel | 70 |
| 47 | VIRENQUE Richard | 65 |
| 48 | GOTTI Ivan | 65 |
| 67 | CHIAPPUCCI Claudio | 67 |
| 77 | OLANO Abraham | 70 |
| 106 | BUGNO Gianni | 68 |
| 112 | BERZIN Evgeni | 64 |
| 118 | PANTANI Marco | 58 |
| 145 | ULLRICH Jan | 73 |