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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Magnien
1
68 kgBartoli
2
65 kgFrattini
3
60 kgCelestino
4
67 kgCasagrande
5
64 kgGontchenkov
6
74 kgSunderland
7
65 kgVirenque
8
65 kgRous
9
70 kgBoogerd
11
62 kgGougot
13
72 kgGualdi
14
68 kgPetito
15
78 kgArroyo
16
59 kgSpruch
17
68 kgDufaux
20
60 kgBarthe
21
65 kgTchmil
23
75 kgBölts
24
73 kgSavoldelli
25
72 kg
1
68 kgBartoli
2
65 kgFrattini
3
60 kgCelestino
4
67 kgCasagrande
5
64 kgGontchenkov
6
74 kgSunderland
7
65 kgVirenque
8
65 kgRous
9
70 kgBoogerd
11
62 kgGougot
13
72 kgGualdi
14
68 kgPetito
15
78 kgArroyo
16
59 kgSpruch
17
68 kgDufaux
20
60 kgBarthe
21
65 kgTchmil
23
75 kgBölts
24
73 kgSavoldelli
25
72 kg
Weight (KG) →
Result →
78
59
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNIEN Emmanuel | 68 |
| 2 | BARTOLI Michele | 65 |
| 3 | FRATTINI Francesco | 60 |
| 4 | CELESTINO Mirko | 67 |
| 5 | CASAGRANDE Francesco | 64 |
| 6 | GONTCHENKOV Alexander | 74 |
| 7 | SUNDERLAND Scott | 65 |
| 8 | VIRENQUE Richard | 65 |
| 9 | ROUS Didier | 70 |
| 11 | BOOGERD Michael | 62 |
| 13 | GOUGOT Fabrice | 72 |
| 14 | GUALDI Mirko | 68 |
| 15 | PETITO Roberto | 78 |
| 16 | ARROYO Miguel | 59 |
| 17 | SPRUCH Zbigniew | 68 |
| 20 | DUFAUX Laurent | 60 |
| 21 | BARTHE Stéphane | 65 |
| 23 | TCHMIL Andrei | 75 |
| 24 | BÖLTS Udo | 73 |
| 25 | SAVOLDELLI Paolo | 72 |