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 + 122
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
De Caluwé
2
75 kgCloarec
4
78 kgPassat
11
71 kgAuville
12
68 kgFavé
16
72 kgMuller
17
74 kgGodard
18
65 kgLemarié
19
68 kgDisseaux
20
67 kgLe Drogo
21
69 kgCarini
22
69 kgHardiquest
24
72 kgGalateau
27
76 kgKraus
41
61 kgMagne
45
68 kgFontenay
56
67 kgButtafocchi
58
75 kgGranier
60
65 kgMoerenhout
63
72 kg
2
75 kgCloarec
4
78 kgPassat
11
71 kgAuville
12
68 kgFavé
16
72 kgMuller
17
74 kgGodard
18
65 kgLemarié
19
68 kgDisseaux
20
67 kgLe Drogo
21
69 kgCarini
22
69 kgHardiquest
24
72 kgGalateau
27
76 kgKraus
41
61 kgMagne
45
68 kgFontenay
56
67 kgButtafocchi
58
75 kgGranier
60
65 kgMoerenhout
63
72 kg
Weight (KG) →
Result →
78
61
2
63
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE CALUWÉ Edgard | 75 |
| 4 | CLOAREC Pierre | 78 |
| 11 | PASSAT Raymond | 71 |
| 12 | AUVILLE André | 68 |
| 16 | FAVÉ François | 72 |
| 17 | MULLER Hubert | 74 |
| 18 | GODARD Robert | 65 |
| 19 | LEMARIÉ Raymond | 68 |
| 20 | DISSEAUX Albertin | 67 |
| 21 | LE DROGO Paul | 69 |
| 22 | CARINI Bruno | 69 |
| 24 | HARDIQUEST Louis | 72 |
| 27 | GALATEAU Fabien | 76 |
| 41 | KRAUS Maurice | 61 |
| 45 | MAGNE Pierre | 68 |
| 56 | FONTENAY Jean | 67 |
| 58 | BUTTAFOCCHI Adrien | 75 |
| 60 | GRANIER Honoré | 65 |
| 63 | MOERENHOUT Jef | 72 |