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 + 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Moser
1
79 kgSchepers
5
60 kgMartinelli
6
74 kgKuiper
7
69 kgDidier
8
67 kgBittinger
12
69 kgDuclos-Lassalle
15
73 kgOvion
16
64 kgHinault
18
62 kgJourdan
29
64 kgVan Impe
33
59 kgBernaudeau
35
64 kgDemeyer
37
85 kgNilsson
45
63 kgvan Katwijk
49
75 kgVan Looy
53
75 kgMartin
59
62 kgHoste
66
76 kg
1
79 kgSchepers
5
60 kgMartinelli
6
74 kgKuiper
7
69 kgDidier
8
67 kgBittinger
12
69 kgDuclos-Lassalle
15
73 kgOvion
16
64 kgHinault
18
62 kgJourdan
29
64 kgVan Impe
33
59 kgBernaudeau
35
64 kgDemeyer
37
85 kgNilsson
45
63 kgvan Katwijk
49
75 kgVan Looy
53
75 kgMartin
59
62 kgHoste
66
76 kg
Weight (KG) →
Result →
85
59
1
66
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 5 | SCHEPERS Eddy | 60 |
| 6 | MARTINELLI Giuseppe | 74 |
| 7 | KUIPER Hennie | 69 |
| 8 | DIDIER Lucien | 67 |
| 12 | BITTINGER René | 69 |
| 15 | DUCLOS-LASSALLE Gilbert | 73 |
| 16 | OVION Régis | 64 |
| 18 | HINAULT Bernard | 62 |
| 29 | JOURDAN Christian | 64 |
| 33 | VAN IMPE Lucien | 59 |
| 35 | BERNAUDEAU Jean-René | 64 |
| 37 | DEMEYER Marc | 85 |
| 45 | NILSSON Sven-Åke | 63 |
| 49 | VAN KATWIJK Fons | 75 |
| 53 | VAN LOOY Frans | 75 |
| 59 | MARTIN Raymond | 62 |
| 66 | HOSTE Frank | 76 |