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 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Cipollini
1
77 kgSvorada
2
76 kgJalabert
3
66 kgBaffi
4
70 kgCapelle
6
73 kgEdo
7
64 kgHamburger
8
58 kgRodrigues
9
68 kgBertolini
10
63 kgGaumont
11
77 kgMattan
12
69 kgMartinello
13
71 kgO'Grady
15
73 kgFondriest
17
70 kgMauri
21
68 kgVoskamp
26
75 kgFarazijn
27
69 kg
1
77 kgSvorada
2
76 kgJalabert
3
66 kgBaffi
4
70 kgCapelle
6
73 kgEdo
7
64 kgHamburger
8
58 kgRodrigues
9
68 kgBertolini
10
63 kgGaumont
11
77 kgMattan
12
69 kgMartinello
13
71 kgO'Grady
15
73 kgFondriest
17
70 kgMauri
21
68 kgVoskamp
26
75 kgFarazijn
27
69 kg
Weight (KG) →
Result →
77
58
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 2 | SVORADA Ján | 76 |
| 3 | JALABERT Laurent | 66 |
| 4 | BAFFI Adriano | 70 |
| 6 | CAPELLE Christophe | 73 |
| 7 | EDO Ángel | 64 |
| 8 | HAMBURGER Bo | 58 |
| 9 | RODRIGUES Orlando Sergio | 68 |
| 10 | BERTOLINI Alessandro | 63 |
| 11 | GAUMONT Philippe | 77 |
| 12 | MATTAN Nico | 69 |
| 13 | MARTINELLO Silvio | 71 |
| 15 | O'GRADY Stuart | 73 |
| 17 | FONDRIEST Maurizio | 70 |
| 21 | MAURI Melchor | 68 |
| 26 | VOSKAMP Bart | 75 |
| 27 | FARAZIJN Peter | 69 |