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 + 54
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Carini
2
69 kgDe Caluwé
3
75 kgGalateau
4
76 kgGranier
6
65 kgMuller
9
74 kgDisseaux
10
67 kgMagne
10
68 kgPassat
10
71 kgFavé
25
72 kgCloarec
26
78 kgAuville
27
68 kgMoerenhout
30
72 kgLe Drogo
33
69 kgLemarié
34
68 kgGodard
39
65 kgKraus
41
61 kgHardiquest
52
72 kgButtafocchi
53
75 kg
2
69 kgDe Caluwé
3
75 kgGalateau
4
76 kgGranier
6
65 kgMuller
9
74 kgDisseaux
10
67 kgMagne
10
68 kgPassat
10
71 kgFavé
25
72 kgCloarec
26
78 kgAuville
27
68 kgMoerenhout
30
72 kgLe Drogo
33
69 kgLemarié
34
68 kgGodard
39
65 kgKraus
41
61 kgHardiquest
52
72 kgButtafocchi
53
75 kg
Weight (KG) →
Result →
78
61
2
53
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CARINI Bruno | 69 |
| 3 | DE CALUWÉ Edgard | 75 |
| 4 | GALATEAU Fabien | 76 |
| 6 | GRANIER Honoré | 65 |
| 9 | MULLER Hubert | 74 |
| 10 | DISSEAUX Albertin | 67 |
| 10 | MAGNE Pierre | 68 |
| 10 | PASSAT Raymond | 71 |
| 25 | FAVÉ François | 72 |
| 26 | CLOAREC Pierre | 78 |
| 27 | AUVILLE André | 68 |
| 30 | MOERENHOUT Jef | 72 |
| 33 | LE DROGO Paul | 69 |
| 34 | LEMARIÉ Raymond | 68 |
| 39 | GODARD Robert | 65 |
| 41 | KRAUS Maurice | 61 |
| 52 | HARDIQUEST Louis | 72 |
| 53 | BUTTAFOCCHI Adrien | 75 |