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 = 2.2 * weight - 102
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Moser
1
79 kgFignon
2
67 kgArgentin
3
66 kgBaronchelli
6
72 kgVan Impe
7
59 kgSchepers
12
60 kgGayant
15
69 kgSaronni
16
65 kgVandi
17
64 kgNilsson
35
63 kgGavazzi
64
67 kgSegersall
74
65 kgCaroli
86
77 kgAlgeri
92
68 kgMartinelli
107
74 kgChevallier
108
69 kgFernández
122
68 kg
1
79 kgFignon
2
67 kgArgentin
3
66 kgBaronchelli
6
72 kgVan Impe
7
59 kgSchepers
12
60 kgGayant
15
69 kgSaronni
16
65 kgVandi
17
64 kgNilsson
35
63 kgGavazzi
64
67 kgSegersall
74
65 kgCaroli
86
77 kgAlgeri
92
68 kgMartinelli
107
74 kgChevallier
108
69 kgFernández
122
68 kg
Weight (KG) →
Result →
79
59
1
122
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 2 | FIGNON Laurent | 67 |
| 3 | ARGENTIN Moreno | 66 |
| 6 | BARONCHELLI Gianbattista | 72 |
| 7 | VAN IMPE Lucien | 59 |
| 12 | SCHEPERS Eddy | 60 |
| 15 | GAYANT Martial | 69 |
| 16 | SARONNI Giuseppe | 65 |
| 17 | VANDI Alfio | 64 |
| 35 | NILSSON Sven-Åke | 63 |
| 64 | GAVAZZI Pierino | 67 |
| 74 | SEGERSALL Alf | 65 |
| 86 | CAROLI Daniele | 77 |
| 92 | ALGERI Vittorio | 68 |
| 107 | MARTINELLI Giuseppe | 74 |
| 108 | CHEVALLIER Philippe | 69 |
| 122 | FERNÁNDEZ Juan | 68 |