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 = 1.2 * weight - 15
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Hinault
1
62 kgLeMond
2
67 kgBauer
14
72 kgBernaudeau
21
64 kgNevens
28
58 kgEarley
31
62 kgZoetemelk
35
68 kgRoche
44
74 kgSchepers
46
60 kgMujika
54
73 kgWinnen
74
60 kgSolleveld
77
93 kgYates
83
74 kgHoste
91
76 kgDernies
101
75 kgVanderaerden
110
74 kgVilamajo
120
70 kgvan der Poel
123
70 kgMarie
128
68 kgHerrera
129
57 kg
1
62 kgLeMond
2
67 kgBauer
14
72 kgBernaudeau
21
64 kgNevens
28
58 kgEarley
31
62 kgZoetemelk
35
68 kgRoche
44
74 kgSchepers
46
60 kgMujika
54
73 kgWinnen
74
60 kgSolleveld
77
93 kgYates
83
74 kgHoste
91
76 kgDernies
101
75 kgVanderaerden
110
74 kgVilamajo
120
70 kgvan der Poel
123
70 kgMarie
128
68 kgHerrera
129
57 kg
Weight (KG) →
Result →
93
57
1
129
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | LEMOND Greg | 67 |
| 14 | BAUER Steve | 72 |
| 21 | BERNAUDEAU Jean-René | 64 |
| 28 | NEVENS Jan | 58 |
| 31 | EARLEY Martin | 62 |
| 35 | ZOETEMELK Joop | 68 |
| 44 | ROCHE Stephen | 74 |
| 46 | SCHEPERS Eddy | 60 |
| 54 | MUJIKA Jokin | 73 |
| 74 | WINNEN Peter | 60 |
| 77 | SOLLEVELD Gerrit | 93 |
| 83 | YATES Sean | 74 |
| 91 | HOSTE Frank | 76 |
| 101 | DERNIES Michel | 75 |
| 110 | VANDERAERDEN Eric | 74 |
| 120 | VILAMAJO Jaime | 70 |
| 123 | VAN DER POEL Adrie | 70 |
| 128 | MARIE Thierry | 68 |
| 129 | HERRERA Luis Alberto | 57 |