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 = -6.7 * weight + 1307
This means that on average for every extra kilogram weight a rider loses -6.7 positions in the result.
van der Poel
4
70 kgHinault
990
62 kgZoetemelk
990
68 kgPrim
990
76 kgSchepers
990
60 kgSergeant
990
76 kgGlaus
990
67 kg
4
70 kgHinault
990
62 kgZoetemelk
990
68 kgPrim
990
76 kgSchepers
990
60 kgSergeant
990
76 kgGlaus
990
67 kg
Weight (KG) →
Result →
76
60
4
990
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VAN DER POEL Adrie | 70 |
| 990 | HINAULT Bernard | 62 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | PRIM Tommy | 76 |
| 990 | SCHEPERS Eddy | 60 |
| 990 | SERGEANT Marc | 76 |
| 990 | GLAUS Gilbert | 67 |