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:
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Hoste
2
76 kgVanderaerden
3
74 kgvan der Poel
4
70 kgHinault
8
62 kgBauer
10
72 kgDernies
20
75 kgYates
24
74 kgNevens
25
58 kgMarie
28
68 kgLeMond
30
67 kgBernaudeau
33
64 kgSchepers
43
60 kgRoche
53
74 kgVilamajo
54
70 kgEarley
75
62 kgZoetemelk
90
68 kgMujika
117
73 kgHerrera
129
57 kgSolleveld
131
93 kg
2
76 kgVanderaerden
3
74 kgvan der Poel
4
70 kgHinault
8
62 kgBauer
10
72 kgDernies
20
75 kgYates
24
74 kgNevens
25
58 kgMarie
28
68 kgLeMond
30
67 kgBernaudeau
33
64 kgSchepers
43
60 kgRoche
53
74 kgVilamajo
54
70 kgEarley
75
62 kgZoetemelk
90
68 kgMujika
117
73 kgHerrera
129
57 kgSolleveld
131
93 kg
Weight (KG) →
Result →
93
57
2
131
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOSTE Frank | 76 |
| 3 | VANDERAERDEN Eric | 74 |
| 4 | VAN DER POEL Adrie | 70 |
| 8 | HINAULT Bernard | 62 |
| 10 | BAUER Steve | 72 |
| 20 | DERNIES Michel | 75 |
| 24 | YATES Sean | 74 |
| 25 | NEVENS Jan | 58 |
| 28 | MARIE Thierry | 68 |
| 30 | LEMOND Greg | 67 |
| 33 | BERNAUDEAU Jean-René | 64 |
| 43 | SCHEPERS Eddy | 60 |
| 53 | ROCHE Stephen | 74 |
| 54 | VILAMAJO Jaime | 70 |
| 75 | EARLEY Martin | 62 |
| 90 | ZOETEMELK Joop | 68 |
| 117 | MUJIKA Jokin | 73 |
| 129 | HERRERA Luis Alberto | 57 |
| 131 | SOLLEVELD Gerrit | 93 |