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 * weight + 107
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
van der Poel
1
70 kgFondriest
3
70 kgVanderaerden
6
74 kgArgentin
7
66 kgChiappucci
8
67 kgGlaus
9
67 kgWeltz
13
65 kgLilholt
15
72 kgNevens
16
58 kgCaroli
20
77 kgBauer
22
72 kgKelly
28
77 kgBreukink
30
70 kgKuiper
33
69 kgBugno
41
68 kgMadiot
49
68 kgHodge
50
74 kgRué
54
74 kgImboden
55
70 kgZoetemelk
56
68 kgWinnen
80
60 kgArntz
87
70 kgEarley
101
62 kgRiis
114
71 kg
1
70 kgFondriest
3
70 kgVanderaerden
6
74 kgArgentin
7
66 kgChiappucci
8
67 kgGlaus
9
67 kgWeltz
13
65 kgLilholt
15
72 kgNevens
16
58 kgCaroli
20
77 kgBauer
22
72 kgKelly
28
77 kgBreukink
30
70 kgKuiper
33
69 kgBugno
41
68 kgMadiot
49
68 kgHodge
50
74 kgRué
54
74 kgImboden
55
70 kgZoetemelk
56
68 kgWinnen
80
60 kgArntz
87
70 kgEarley
101
62 kgRiis
114
71 kg
Weight (KG) →
Result →
77
58
1
114
# | Rider | Weight (KG) |
---|---|---|
1 | VAN DER POEL Adrie | 70 |
3 | FONDRIEST Maurizio | 70 |
6 | VANDERAERDEN Eric | 74 |
7 | ARGENTIN Moreno | 66 |
8 | CHIAPPUCCI Claudio | 67 |
9 | GLAUS Gilbert | 67 |
13 | WELTZ Johnny | 65 |
15 | LILHOLT Søren | 72 |
16 | NEVENS Jan | 58 |
20 | CAROLI Daniele | 77 |
22 | BAUER Steve | 72 |
28 | KELLY Sean | 77 |
30 | BREUKINK Erik | 70 |
33 | KUIPER Hennie | 69 |
41 | BUGNO Gianni | 68 |
49 | MADIOT Marc | 68 |
50 | HODGE Stephen | 74 |
54 | RUÉ Gérard | 74 |
55 | IMBODEN Heinz | 70 |
56 | ZOETEMELK Joop | 68 |
80 | WINNEN Peter | 60 |
87 | ARNTZ Marcel | 70 |
101 | EARLEY Martin | 62 |
114 | RIIS Bjarne | 71 |