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 = 1.6 * weight - 73
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Prim
2
76 kgSaronni
3
65 kgVandi
7
64 kgBaronchelli
10
72 kgMarcussen
17
70 kgMoser
21
79 kgKnudsen
22
79 kgMinetti
23
69 kgMount
25
66 kgDemierre
27
70 kgLasa
37
68 kgArgentin
43
66 kgSutter
53
70 kgSegersall
58
65 kgGavazzi
64
67 kgTrevorrow
81
67 kgMartinelli
86
74 kgSchuiten
90
83 kgWampers
94
82 kg
2
76 kgSaronni
3
65 kgVandi
7
64 kgBaronchelli
10
72 kgMarcussen
17
70 kgMoser
21
79 kgKnudsen
22
79 kgMinetti
23
69 kgMount
25
66 kgDemierre
27
70 kgLasa
37
68 kgArgentin
43
66 kgSutter
53
70 kgSegersall
58
65 kgGavazzi
64
67 kgTrevorrow
81
67 kgMartinelli
86
74 kgSchuiten
90
83 kgWampers
94
82 kg
Weight (KG) →
Result →
83
64
2
94
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PRIM Tommy | 76 |
| 3 | SARONNI Giuseppe | 65 |
| 7 | VANDI Alfio | 64 |
| 10 | BARONCHELLI Gianbattista | 72 |
| 17 | MARCUSSEN Jørgen | 70 |
| 21 | MOSER Francesco | 79 |
| 22 | KNUDSEN Knut | 79 |
| 23 | MINETTI Alberto | 69 |
| 25 | MOUNT George | 66 |
| 27 | DEMIERRE Serge | 70 |
| 37 | LASA Miguel María | 68 |
| 43 | ARGENTIN Moreno | 66 |
| 53 | SUTTER Ueli | 70 |
| 58 | SEGERSALL Alf | 65 |
| 64 | GAVAZZI Pierino | 67 |
| 81 | TREVORROW John | 67 |
| 86 | MARTINELLI Giuseppe | 74 |
| 90 | SCHUITEN Roy | 83 |
| 94 | WAMPERS Jean-Marie | 82 |