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 + 15
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Wesemann
2
72 kgBaffi
3
70 kgEdo
4
64 kgSkibby
5
70 kgBramati
6
72 kgGualdi
7
68 kgPagnin
9
74 kgDekker
12
66 kgPetito
14
78 kgPiccoli
17
64 kgDufaux
19
60 kgUgrumov
21
58 kgBouvard
22
70 kgOlano
24
70 kgMauri
26
68 kgZanini
27
80 kgAldag
28
75 kgHodge
29
74 kgGoubert
30
62 kg
2
72 kgBaffi
3
70 kgEdo
4
64 kgSkibby
5
70 kgBramati
6
72 kgGualdi
7
68 kgPagnin
9
74 kgDekker
12
66 kgPetito
14
78 kgPiccoli
17
64 kgDufaux
19
60 kgUgrumov
21
58 kgBouvard
22
70 kgOlano
24
70 kgMauri
26
68 kgZanini
27
80 kgAldag
28
75 kgHodge
29
74 kgGoubert
30
62 kg
Weight (KG) →
Result →
80
58
2
30
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WESEMANN Steffen | 72 |
| 3 | BAFFI Adriano | 70 |
| 4 | EDO Ángel | 64 |
| 5 | SKIBBY Jesper | 70 |
| 6 | BRAMATI Davide | 72 |
| 7 | GUALDI Mirko | 68 |
| 9 | PAGNIN Roberto | 74 |
| 12 | DEKKER Erik | 66 |
| 14 | PETITO Roberto | 78 |
| 17 | PICCOLI Mariano | 64 |
| 19 | DUFAUX Laurent | 60 |
| 21 | UGRUMOV Piotr | 58 |
| 22 | BOUVARD Gilles | 70 |
| 24 | OLANO Abraham | 70 |
| 26 | MAURI Melchor | 68 |
| 27 | ZANINI Stefano | 80 |
| 28 | ALDAG Rolf | 75 |
| 29 | HODGE Stephen | 74 |
| 30 | GOUBERT Stéphane | 62 |