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 = 1.3 * weight - 46
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Dufaux
1
60 kgVirenque
5
65 kgArroyo
9
59 kgGotti
12
65 kgZamana
18
74 kgPeron
29
70 kgFignon
30
67 kgNevens
32
58 kgRous
34
70 kgMurguialday
36
58 kgHodge
42
74 kgSimon
43
70 kgEarley
45
62 kgGamito
54
66 kgDurand
58
76 kgGianetti
60
62 kgMoncassin
63
73 kgStephens
67
65 kgBaguet
68
67 kgFarazijn
74
69 kg
1
60 kgVirenque
5
65 kgArroyo
9
59 kgGotti
12
65 kgZamana
18
74 kgPeron
29
70 kgFignon
30
67 kgNevens
32
58 kgRous
34
70 kgMurguialday
36
58 kgHodge
42
74 kgSimon
43
70 kgEarley
45
62 kgGamito
54
66 kgDurand
58
76 kgGianetti
60
62 kgMoncassin
63
73 kgStephens
67
65 kgBaguet
68
67 kgFarazijn
74
69 kg
Weight (KG) →
Result →
76
58
1
74
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUFAUX Laurent | 60 |
| 5 | VIRENQUE Richard | 65 |
| 9 | ARROYO Miguel | 59 |
| 12 | GOTTI Ivan | 65 |
| 18 | ZAMANA Cezary | 74 |
| 29 | PERON Andrea | 70 |
| 30 | FIGNON Laurent | 67 |
| 32 | NEVENS Jan | 58 |
| 34 | ROUS Didier | 70 |
| 36 | MURGUIALDAY Javier | 58 |
| 42 | HODGE Stephen | 74 |
| 43 | SIMON François | 70 |
| 45 | EARLEY Martin | 62 |
| 54 | GAMITO Vitor | 66 |
| 58 | DURAND Jacky | 76 |
| 60 | GIANETTI Mauro | 62 |
| 63 | MONCASSIN Frédéric | 73 |
| 67 | STEPHENS Neil | 65 |
| 68 | BAGUET Serge | 67 |
| 74 | FARAZIJN Peter | 69 |