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 = 3.9 * weight - 205
This means that on average for every extra kilogram weight a rider loses 3.9 positions in the result.
Earley
4
62 kgSchepers
14
60 kgLeMond
17
67 kgZoetemelk
18
68 kgHerrera
19
57 kgBernaudeau
21
64 kgHinault
34
62 kgMujika
39
73 kgNevens
42
58 kgBauer
73
72 kgRoche
76
74 kgDernies
92
75 kgMarie
116
68 kgVilamajo
118
70 kgHoste
119
76 kgYates
120
74 kgvan der Poel
122
70 kgSolleveld
126
93 kgVanderaerden
128
74 kg
4
62 kgSchepers
14
60 kgLeMond
17
67 kgZoetemelk
18
68 kgHerrera
19
57 kgBernaudeau
21
64 kgHinault
34
62 kgMujika
39
73 kgNevens
42
58 kgBauer
73
72 kgRoche
76
74 kgDernies
92
75 kgMarie
116
68 kgVilamajo
118
70 kgHoste
119
76 kgYates
120
74 kgvan der Poel
122
70 kgSolleveld
126
93 kgVanderaerden
128
74 kg
Weight (KG) →
Result →
93
57
4
128
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | EARLEY Martin | 62 |
| 14 | SCHEPERS Eddy | 60 |
| 17 | LEMOND Greg | 67 |
| 18 | ZOETEMELK Joop | 68 |
| 19 | HERRERA Luis Alberto | 57 |
| 21 | BERNAUDEAU Jean-René | 64 |
| 34 | HINAULT Bernard | 62 |
| 39 | MUJIKA Jokin | 73 |
| 42 | NEVENS Jan | 58 |
| 73 | BAUER Steve | 72 |
| 76 | ROCHE Stephen | 74 |
| 92 | DERNIES Michel | 75 |
| 116 | MARIE Thierry | 68 |
| 118 | VILAMAJO Jaime | 70 |
| 119 | HOSTE Frank | 76 |
| 120 | YATES Sean | 74 |
| 122 | VAN DER POEL Adrie | 70 |
| 126 | SOLLEVELD Gerrit | 93 |
| 128 | VANDERAERDEN Eric | 74 |