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 = 2.9 * weight - 139
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
LeMond
1
67 kgHinault
2
62 kgHerrera
22
57 kgBauer
23
72 kgZoetemelk
24
68 kgBernaudeau
26
64 kgMujika
30
73 kgSchepers
37
60 kgEarley
46
62 kgRoche
48
74 kgNevens
51
58 kgSolleveld
101
93 kgMarie
108
68 kgvan der Poel
110
70 kgYates
112
74 kgDernies
113
75 kgVilamajo
115
70 kgHoste
116
76 kgVanderaerden
125
74 kg
1
67 kgHinault
2
62 kgHerrera
22
57 kgBauer
23
72 kgZoetemelk
24
68 kgBernaudeau
26
64 kgMujika
30
73 kgSchepers
37
60 kgEarley
46
62 kgRoche
48
74 kgNevens
51
58 kgSolleveld
101
93 kgMarie
108
68 kgvan der Poel
110
70 kgYates
112
74 kgDernies
113
75 kgVilamajo
115
70 kgHoste
116
76 kgVanderaerden
125
74 kg
Weight (KG) →
Result →
93
57
1
125
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEMOND Greg | 67 |
| 2 | HINAULT Bernard | 62 |
| 22 | HERRERA Luis Alberto | 57 |
| 23 | BAUER Steve | 72 |
| 24 | ZOETEMELK Joop | 68 |
| 26 | BERNAUDEAU Jean-René | 64 |
| 30 | MUJIKA Jokin | 73 |
| 37 | SCHEPERS Eddy | 60 |
| 46 | EARLEY Martin | 62 |
| 48 | ROCHE Stephen | 74 |
| 51 | NEVENS Jan | 58 |
| 101 | SOLLEVELD Gerrit | 93 |
| 108 | MARIE Thierry | 68 |
| 110 | VAN DER POEL Adrie | 70 |
| 112 | YATES Sean | 74 |
| 113 | DERNIES Michel | 75 |
| 115 | VILAMAJO Jaime | 70 |
| 116 | HOSTE Frank | 76 |
| 125 | VANDERAERDEN Eric | 74 |