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 = -14.6 * weight + 1814
This means that on average for every extra kilogram weight a rider loses -14.6 positions in the result.
Magnien
1
68 kgKelly
2
77 kgLeMond
3
67 kgZamana
5
74 kgKasputis
990
83 kgChanteur
990
62 kgGoubert
990
62 kgHodge
990
74 kgHervé
990
62 kgVirenque
990
65 kgDufaux
990
60 kgStephens
990
65 kgde Vries
990
75 kgJonker
990
69 kgSimon
990
70 kgDurand
990
76 kgVan de Wouwer
990
66 kgArroyo
990
59 kgVan Lancker
990
67 kgThijs
990
69 kgRous
990
70 kgBoardman
990
70 kg
1
68 kgKelly
2
77 kgLeMond
3
67 kgZamana
5
74 kgKasputis
990
83 kgChanteur
990
62 kgGoubert
990
62 kgHodge
990
74 kgHervé
990
62 kgVirenque
990
65 kgDufaux
990
60 kgStephens
990
65 kgde Vries
990
75 kgJonker
990
69 kgSimon
990
70 kgDurand
990
76 kgVan de Wouwer
990
66 kgArroyo
990
59 kgVan Lancker
990
67 kgThijs
990
69 kgRous
990
70 kgBoardman
990
70 kg
Weight (KG) →
Result →
83
59
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | MAGNIEN Emmanuel | 68 |
2 | KELLY Sean | 77 |
3 | LEMOND Greg | 67 |
5 | ZAMANA Cezary | 74 |
990 | KASPUTIS Artūras | 83 |
990 | CHANTEUR Pascal | 62 |
990 | GOUBERT Stéphane | 62 |
990 | HODGE Stephen | 74 |
990 | HERVÉ Pascal | 62 |
990 | VIRENQUE Richard | 65 |
990 | DUFAUX Laurent | 60 |
990 | STEPHENS Neil | 65 |
990 | DE VRIES Gerrit | 75 |
990 | JONKER Patrick | 69 |
990 | SIMON François | 70 |
990 | DURAND Jacky | 76 |
990 | VAN DE WOUWER Kurt | 66 |
990 | ARROYO Miguel | 59 |
990 | VAN LANCKER Kurt | 67 |
990 | THIJS Erwin | 69 |
990 | ROUS Didier | 70 |
990 | BOARDMAN Chris | 70 |