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 = -17.5 * weight + 2089
This means that on average for every extra kilogram weight a rider loses -17.5 positions in the result.
van Vliet
1
65 kgDemeyer
3
85 kgGlaus
990
67 kgPriem
990
75 kgRaas
990
72 kgVan Looy
990
75 kgHinault
990
62 kgMartinelli
990
74 kgGavazzi
990
67 kgSefton
990
68 kgSchepers
990
60 kgDierickx
990
74 kgZoetemelk
990
68 kgNilsson
990
63 kgDuclos-Lassalle
990
73 kgBittinger
990
69 kg
1
65 kgDemeyer
3
85 kgGlaus
990
67 kgPriem
990
75 kgRaas
990
72 kgVan Looy
990
75 kgHinault
990
62 kgMartinelli
990
74 kgGavazzi
990
67 kgSefton
990
68 kgSchepers
990
60 kgDierickx
990
74 kgZoetemelk
990
68 kgNilsson
990
63 kgDuclos-Lassalle
990
73 kgBittinger
990
69 kg
Weight (KG) →
Result →
85
60
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN VLIET Leo | 65 |
| 3 | DEMEYER Marc | 85 |
| 990 | GLAUS Gilbert | 67 |
| 990 | PRIEM Cees | 75 |
| 990 | RAAS Jan | 72 |
| 990 | VAN LOOY Frans | 75 |
| 990 | HINAULT Bernard | 62 |
| 990 | MARTINELLI Giuseppe | 74 |
| 990 | GAVAZZI Pierino | 67 |
| 990 | SEFTON Clyde | 68 |
| 990 | SCHEPERS Eddy | 60 |
| 990 | DIERICKX André | 74 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | NILSSON Sven-Åke | 63 |
| 990 | DUCLOS-LASSALLE Gilbert | 73 |
| 990 | BITTINGER René | 69 |