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 = 1.7 * weight - 45
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Bauer
5
72 kgHinault
6
62 kgLeMond
8
67 kgZoetemelk
27
68 kgRoche
41
74 kgSchepers
43
60 kgMujika
44
73 kgHerrera
51
57 kgWinnen
65
60 kgBernaudeau
78
64 kgVanderaerden
98
74 kgEarley
99
62 kgNevens
100
58 kgYates
101
74 kgDernies
103
75 kgVilamajo
115
70 kgHoste
117
76 kgMarie
118
68 kgvan der Poel
122
70 kgSolleveld
123
93 kg
5
72 kgHinault
6
62 kgLeMond
8
67 kgZoetemelk
27
68 kgRoche
41
74 kgSchepers
43
60 kgMujika
44
73 kgHerrera
51
57 kgWinnen
65
60 kgBernaudeau
78
64 kgVanderaerden
98
74 kgEarley
99
62 kgNevens
100
58 kgYates
101
74 kgDernies
103
75 kgVilamajo
115
70 kgHoste
117
76 kgMarie
118
68 kgvan der Poel
122
70 kgSolleveld
123
93 kg
Weight (KG) →
Result →
93
57
5
123
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BAUER Steve | 72 |
| 6 | HINAULT Bernard | 62 |
| 8 | LEMOND Greg | 67 |
| 27 | ZOETEMELK Joop | 68 |
| 41 | ROCHE Stephen | 74 |
| 43 | SCHEPERS Eddy | 60 |
| 44 | MUJIKA Jokin | 73 |
| 51 | HERRERA Luis Alberto | 57 |
| 65 | WINNEN Peter | 60 |
| 78 | BERNAUDEAU Jean-René | 64 |
| 98 | VANDERAERDEN Eric | 74 |
| 99 | EARLEY Martin | 62 |
| 100 | NEVENS Jan | 58 |
| 101 | YATES Sean | 74 |
| 103 | DERNIES Michel | 75 |
| 115 | VILAMAJO Jaime | 70 |
| 117 | HOSTE Frank | 76 |
| 118 | MARIE Thierry | 68 |
| 122 | VAN DER POEL Adrie | 70 |
| 123 | SOLLEVELD Gerrit | 93 |