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 = -0.1 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bauer
4
72 kgJärmann
5
73 kgBruyneel
9
71 kgInduráin
10
76 kgGianetti
13
62 kgKelly
18
77 kgWechselberger
23
71 kgRominger
24
65 kgEarley
33
62 kgDernies
39
75 kgRichard
41
67 kgHodge
45
74 kgMauri
65
68 kgBölts
75
73 kgvan der Poel
77
70 kgBomans
78
74 kgMartinello
79
71 kgTafi
93
73 kgGlaus
102
67 kg
4
72 kgJärmann
5
73 kgBruyneel
9
71 kgInduráin
10
76 kgGianetti
13
62 kgKelly
18
77 kgWechselberger
23
71 kgRominger
24
65 kgEarley
33
62 kgDernies
39
75 kgRichard
41
67 kgHodge
45
74 kgMauri
65
68 kgBölts
75
73 kgvan der Poel
77
70 kgBomans
78
74 kgMartinello
79
71 kgTafi
93
73 kgGlaus
102
67 kg
Weight (KG) →
Result →
77
62
4
102
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BAUER Steve | 72 |
| 5 | JÄRMANN Rolf | 73 |
| 9 | BRUYNEEL Johan | 71 |
| 10 | INDURÁIN Miguel | 76 |
| 13 | GIANETTI Mauro | 62 |
| 18 | KELLY Sean | 77 |
| 23 | WECHSELBERGER Helmut | 71 |
| 24 | ROMINGER Tony | 65 |
| 33 | EARLEY Martin | 62 |
| 39 | DERNIES Michel | 75 |
| 41 | RICHARD Pascal | 67 |
| 45 | HODGE Stephen | 74 |
| 65 | MAURI Melchor | 68 |
| 75 | BÖLTS Udo | 73 |
| 77 | VAN DER POEL Adrie | 70 |
| 78 | BOMANS Carlo | 74 |
| 79 | MARTINELLO Silvio | 71 |
| 93 | TAFI Andrea | 73 |
| 102 | GLAUS Gilbert | 67 |