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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Olano
1
70 kgJalabert
2
66 kgZülle
3
72 kgBruyneel
4
71 kgBartoli
5
65 kgRiis
6
71 kgMauri
7
68 kgAndersson
8
71 kgCasero
9
72 kgEkimov
10
69 kgBaffi
13
70 kgUgrumov
15
58 kgAlonso
16
70 kgVirenque
17
65 kgRodrigues
21
68 kgBrignoli
22
78 kgMøller
24
70 kgPlaza
27
68 kgMeinert-Nielsen
28
73 kgMerckx
29
77 kg
1
70 kgJalabert
2
66 kgZülle
3
72 kgBruyneel
4
71 kgBartoli
5
65 kgRiis
6
71 kgMauri
7
68 kgAndersson
8
71 kgCasero
9
72 kgEkimov
10
69 kgBaffi
13
70 kgUgrumov
15
58 kgAlonso
16
70 kgVirenque
17
65 kgRodrigues
21
68 kgBrignoli
22
78 kgMøller
24
70 kgPlaza
27
68 kgMeinert-Nielsen
28
73 kgMerckx
29
77 kg
Weight (KG) →
Result →
78
58
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OLANO Abraham | 70 |
| 2 | JALABERT Laurent | 66 |
| 3 | ZÜLLE Alex | 72 |
| 4 | BRUYNEEL Johan | 71 |
| 5 | BARTOLI Michele | 65 |
| 6 | RIIS Bjarne | 71 |
| 7 | MAURI Melchor | 68 |
| 8 | ANDERSSON Michael | 71 |
| 9 | CASERO Ángel Luis | 72 |
| 10 | EKIMOV Viatcheslav | 69 |
| 13 | BAFFI Adriano | 70 |
| 15 | UGRUMOV Piotr | 58 |
| 16 | ALONSO Marino | 70 |
| 17 | VIRENQUE Richard | 65 |
| 21 | RODRIGUES Orlando Sergio | 68 |
| 22 | BRIGNOLI Ermanno | 78 |
| 24 | MØLLER Claus Michael | 70 |
| 27 | PLAZA David | 68 |
| 28 | MEINERT-NIELSEN Peter | 73 |
| 29 | MERCKX Axel | 77 |