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 = 2.1 * weight - 107
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Hinault
1
62 kgPrim
2
76 kgVan Impe
4
59 kgBaronchelli
5
72 kgSaronni
6
65 kgMoser
8
79 kgSchepers
11
60 kgVandi
12
64 kgFignon
15
67 kgMarcussen
32
70 kgMadiot
34
68 kgFernández
37
68 kgArgentin
38
66 kgDidier
41
67 kgMount
47
66 kgSegersall
66
65 kgAlgeri
85
68 kgSchuiten
87
83 kgCaroli
107
77 kg
1
62 kgPrim
2
76 kgVan Impe
4
59 kgBaronchelli
5
72 kgSaronni
6
65 kgMoser
8
79 kgSchepers
11
60 kgVandi
12
64 kgFignon
15
67 kgMarcussen
32
70 kgMadiot
34
68 kgFernández
37
68 kgArgentin
38
66 kgDidier
41
67 kgMount
47
66 kgSegersall
66
65 kgAlgeri
85
68 kgSchuiten
87
83 kgCaroli
107
77 kg
Weight (KG) →
Result →
83
59
1
107
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | PRIM Tommy | 76 |
| 4 | VAN IMPE Lucien | 59 |
| 5 | BARONCHELLI Gianbattista | 72 |
| 6 | SARONNI Giuseppe | 65 |
| 8 | MOSER Francesco | 79 |
| 11 | SCHEPERS Eddy | 60 |
| 12 | VANDI Alfio | 64 |
| 15 | FIGNON Laurent | 67 |
| 32 | MARCUSSEN Jørgen | 70 |
| 34 | MADIOT Marc | 68 |
| 37 | FERNÁNDEZ Juan | 68 |
| 38 | ARGENTIN Moreno | 66 |
| 41 | DIDIER Lucien | 67 |
| 47 | MOUNT George | 66 |
| 66 | SEGERSALL Alf | 65 |
| 85 | ALGERI Vittorio | 68 |
| 87 | SCHUITEN Roy | 83 |
| 107 | CAROLI Daniele | 77 |