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 = 0.9 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Hinault
1
62 kgZoetemelk
2
68 kgWinnen
4
60 kgMartin
8
62 kgKuiper
9
69 kgBernaudeau
13
64 kgNilsson
14
63 kgKelly
15
77 kgde Rooij
19
69 kgDidier
25
67 kgMadiot
30
68 kgDe Wolf
31
75 kgBittinger
44
69 kgvan Vliet
52
65 kgDuclos-Lassalle
60
73 kgDemierre
72
70 kgThaler
90
60 kgvan der Poel
102
70 kgGlaus
105
67 kg
1
62 kgZoetemelk
2
68 kgWinnen
4
60 kgMartin
8
62 kgKuiper
9
69 kgBernaudeau
13
64 kgNilsson
14
63 kgKelly
15
77 kgde Rooij
19
69 kgDidier
25
67 kgMadiot
30
68 kgDe Wolf
31
75 kgBittinger
44
69 kgvan Vliet
52
65 kgDuclos-Lassalle
60
73 kgDemierre
72
70 kgThaler
90
60 kgvan der Poel
102
70 kgGlaus
105
67 kg
Weight (KG) →
Result →
77
60
1
105
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | ZOETEMELK Joop | 68 |
| 4 | WINNEN Peter | 60 |
| 8 | MARTIN Raymond | 62 |
| 9 | KUIPER Hennie | 69 |
| 13 | BERNAUDEAU Jean-René | 64 |
| 14 | NILSSON Sven-Åke | 63 |
| 15 | KELLY Sean | 77 |
| 19 | DE ROOIJ Theo | 69 |
| 25 | DIDIER Lucien | 67 |
| 30 | MADIOT Marc | 68 |
| 31 | DE WOLF Fons | 75 |
| 44 | BITTINGER René | 69 |
| 52 | VAN VLIET Leo | 65 |
| 60 | DUCLOS-LASSALLE Gilbert | 73 |
| 72 | DEMIERRE Serge | 70 |
| 90 | THALER Klaus-Peter | 60 |
| 102 | VAN DER POEL Adrie | 70 |
| 105 | GLAUS Gilbert | 67 |