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 = 0.4 * weight + 28
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Hinault
1
62 kgLeMond
2
67 kgBauer
11
72 kgRoche
17
74 kgVanderaerden
19
74 kgBernaudeau
39
64 kgZoetemelk
40
68 kgMujika
44
73 kgEarley
46
62 kgWinnen
54
60 kgvan der Poel
60
70 kgYates
67
74 kgHoste
71
76 kgSchepers
75
60 kgMarie
85
68 kgDernies
86
75 kgHerrera
95
57 kgNevens
102
58 kgVilamajo
103
70 kgSolleveld
106
93 kg
1
62 kgLeMond
2
67 kgBauer
11
72 kgRoche
17
74 kgVanderaerden
19
74 kgBernaudeau
39
64 kgZoetemelk
40
68 kgMujika
44
73 kgEarley
46
62 kgWinnen
54
60 kgvan der Poel
60
70 kgYates
67
74 kgHoste
71
76 kgSchepers
75
60 kgMarie
85
68 kgDernies
86
75 kgHerrera
95
57 kgNevens
102
58 kgVilamajo
103
70 kgSolleveld
106
93 kg
Weight (KG) →
Result →
93
57
1
106
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | LEMOND Greg | 67 |
| 11 | BAUER Steve | 72 |
| 17 | ROCHE Stephen | 74 |
| 19 | VANDERAERDEN Eric | 74 |
| 39 | BERNAUDEAU Jean-René | 64 |
| 40 | ZOETEMELK Joop | 68 |
| 44 | MUJIKA Jokin | 73 |
| 46 | EARLEY Martin | 62 |
| 54 | WINNEN Peter | 60 |
| 60 | VAN DER POEL Adrie | 70 |
| 67 | YATES Sean | 74 |
| 71 | HOSTE Frank | 76 |
| 75 | SCHEPERS Eddy | 60 |
| 85 | MARIE Thierry | 68 |
| 86 | DERNIES Michel | 75 |
| 95 | HERRERA Luis Alberto | 57 |
| 102 | NEVENS Jan | 58 |
| 103 | VILAMAJO Jaime | 70 |
| 106 | SOLLEVELD Gerrit | 93 |