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 = 0.2 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Louviot
1
62 kgGarnier
4
74 kgLe Goff
7
68 kgVan Rysselberghe
8
78 kgMaes
10
70 kgLe Drogo
15
69 kgMaes
17
68 kgWauters
19
72 kgCloarec
21
78 kgSalazard
22
74 kgFavé
23
72 kgLe Drogo
25
80 kgBernard
26
69 kgBisseron
28
80 kgBrugère
30
74 kgKraus
31
61 kgJoly
34
75 kgBonduel
38
74 kgBidot
39
65 kg
1
62 kgGarnier
4
74 kgLe Goff
7
68 kgVan Rysselberghe
8
78 kgMaes
10
70 kgLe Drogo
15
69 kgMaes
17
68 kgWauters
19
72 kgCloarec
21
78 kgSalazard
22
74 kgFavé
23
72 kgLe Drogo
25
80 kgBernard
26
69 kgBisseron
28
80 kgBrugère
30
74 kgKraus
31
61 kgJoly
34
75 kgBonduel
38
74 kgBidot
39
65 kg
Weight (KG) →
Result →
80
61
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOUVIOT Raymond | 62 |
| 4 | GARNIER Henri | 74 |
| 7 | LE GOFF Yves | 68 |
| 8 | VAN RYSSELBERGHE Bernard | 78 |
| 10 | MAES Sylvère | 70 |
| 15 | LE DROGO Paul | 69 |
| 17 | MAES Romain | 68 |
| 19 | WAUTERS Jean | 72 |
| 21 | CLOAREC Pierre | 78 |
| 22 | SALAZARD Vincent | 74 |
| 23 | FAVÉ François | 72 |
| 25 | LE DROGO Ferdinand | 80 |
| 26 | BERNARD René | 69 |
| 28 | BISSERON Roger | 80 |
| 30 | BRUGÈRE Robert | 74 |
| 31 | KRAUS Maurice | 61 |
| 34 | JOLY Émile | 75 |
| 38 | BONDUEL Frans | 74 |
| 39 | BIDOT Jean | 65 |