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 = -7.9 * weight + 1264
This means that on average for every extra kilogram weight a rider loses -7.9 positions in the result.
Boardman
1
70 kgKasputis
2
83 kgDufaux
3
60 kgMagnien
4
68 kgLeMond
7
67 kgRous
9
70 kgChanteur
990
62 kgHervé
990
62 kgGoubert
990
62 kgVirenque
990
65 kgHodge
990
74 kgZamana
990
74 kgStephens
990
65 kgde Vries
990
75 kgJonker
990
69 kgDurand
990
76 kgSimon
990
70 kgVan de Wouwer
990
66 kgArroyo
990
59 kgKelly
990
77 kgVan Lancker
990
67 kgThijs
990
69 kg
1
70 kgKasputis
2
83 kgDufaux
3
60 kgMagnien
4
68 kgLeMond
7
67 kgRous
9
70 kgChanteur
990
62 kgHervé
990
62 kgGoubert
990
62 kgVirenque
990
65 kgHodge
990
74 kgZamana
990
74 kgStephens
990
65 kgde Vries
990
75 kgJonker
990
69 kgDurand
990
76 kgSimon
990
70 kgVan de Wouwer
990
66 kgArroyo
990
59 kgKelly
990
77 kgVan Lancker
990
67 kgThijs
990
69 kg
Weight (KG) →
Result →
83
59
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | BOARDMAN Chris | 70 |
2 | KASPUTIS Artūras | 83 |
3 | DUFAUX Laurent | 60 |
4 | MAGNIEN Emmanuel | 68 |
7 | LEMOND Greg | 67 |
9 | ROUS Didier | 70 |
990 | CHANTEUR Pascal | 62 |
990 | HERVÉ Pascal | 62 |
990 | GOUBERT Stéphane | 62 |
990 | VIRENQUE Richard | 65 |
990 | HODGE Stephen | 74 |
990 | ZAMANA Cezary | 74 |
990 | STEPHENS Neil | 65 |
990 | DE VRIES Gerrit | 75 |
990 | JONKER Patrick | 69 |
990 | DURAND Jacky | 76 |
990 | SIMON François | 70 |
990 | VAN DE WOUWER Kurt | 66 |
990 | ARROYO Miguel | 59 |
990 | KELLY Sean | 77 |
990 | VAN LANCKER Kurt | 67 |
990 | THIJS Erwin | 69 |