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 = 0.7 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Vanderaerden
3
74 kgHinault
4
62 kgHoste
5
76 kgBauer
6
72 kgBernaudeau
27
64 kgNevens
32
58 kgHerrera
37
57 kgDernies
43
75 kgLeMond
44
67 kgZoetemelk
46
68 kgRoche
54
74 kgYates
77
74 kgMujika
85
73 kgMarie
86
68 kgVilamajo
95
70 kgEarley
108
62 kgSolleveld
113
93 kgSchepers
123
60 kgvan der Poel
132
70 kg
3
74 kgHinault
4
62 kgHoste
5
76 kgBauer
6
72 kgBernaudeau
27
64 kgNevens
32
58 kgHerrera
37
57 kgDernies
43
75 kgLeMond
44
67 kgZoetemelk
46
68 kgRoche
54
74 kgYates
77
74 kgMujika
85
73 kgMarie
86
68 kgVilamajo
95
70 kgEarley
108
62 kgSolleveld
113
93 kgSchepers
123
60 kgvan der Poel
132
70 kg
Weight (KG) →
Result →
93
57
3
132
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VANDERAERDEN Eric | 74 |
| 4 | HINAULT Bernard | 62 |
| 5 | HOSTE Frank | 76 |
| 6 | BAUER Steve | 72 |
| 27 | BERNAUDEAU Jean-René | 64 |
| 32 | NEVENS Jan | 58 |
| 37 | HERRERA Luis Alberto | 57 |
| 43 | DERNIES Michel | 75 |
| 44 | LEMOND Greg | 67 |
| 46 | ZOETEMELK Joop | 68 |
| 54 | ROCHE Stephen | 74 |
| 77 | YATES Sean | 74 |
| 85 | MUJIKA Jokin | 73 |
| 86 | MARIE Thierry | 68 |
| 95 | VILAMAJO Jaime | 70 |
| 108 | EARLEY Martin | 62 |
| 113 | SOLLEVELD Gerrit | 93 |
| 123 | SCHEPERS Eddy | 60 |
| 132 | VAN DER POEL Adrie | 70 |