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 = 2.6 * weight - 107
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
LeMond
3
67 kgDelgado
5
64 kgHinault
13
62 kgSchepers
14
60 kgZoetemelk
34
68 kgMujika
42
73 kgHerrera
49
57 kgBernaudeau
53
64 kgNevens
56
58 kgBauer
63
72 kgEarley
69
62 kgYates
83
74 kgWinnen
84
60 kgSolleveld
94
93 kgvan der Poel
96
70 kgDernies
113
75 kgVilamajo
119
70 kgRoche
121
74 kgHoste
125
76 kgVanderaerden
126
74 kgMarie
131
68 kg
3
67 kgDelgado
5
64 kgHinault
13
62 kgSchepers
14
60 kgZoetemelk
34
68 kgMujika
42
73 kgHerrera
49
57 kgBernaudeau
53
64 kgNevens
56
58 kgBauer
63
72 kgEarley
69
62 kgYates
83
74 kgWinnen
84
60 kgSolleveld
94
93 kgvan der Poel
96
70 kgDernies
113
75 kgVilamajo
119
70 kgRoche
121
74 kgHoste
125
76 kgVanderaerden
126
74 kgMarie
131
68 kg
Weight (KG) →
Result →
93
57
3
131
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LEMOND Greg | 67 |
| 5 | DELGADO Pedro | 64 |
| 13 | HINAULT Bernard | 62 |
| 14 | SCHEPERS Eddy | 60 |
| 34 | ZOETEMELK Joop | 68 |
| 42 | MUJIKA Jokin | 73 |
| 49 | HERRERA Luis Alberto | 57 |
| 53 | BERNAUDEAU Jean-René | 64 |
| 56 | NEVENS Jan | 58 |
| 63 | BAUER Steve | 72 |
| 69 | EARLEY Martin | 62 |
| 83 | YATES Sean | 74 |
| 84 | WINNEN Peter | 60 |
| 94 | SOLLEVELD Gerrit | 93 |
| 96 | VAN DER POEL Adrie | 70 |
| 113 | DERNIES Michel | 75 |
| 119 | VILAMAJO Jaime | 70 |
| 121 | ROCHE Stephen | 74 |
| 125 | HOSTE Frank | 76 |
| 126 | VANDERAERDEN Eric | 74 |
| 131 | MARIE Thierry | 68 |