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 = 12.5 * weight - 26
This means that on average for every extra kilogram weight a rider loses 12.5 positions in the result.
Glaus
2
67 kgPrim
990
76 kgBaronchelli
990
72 kgHoste
990
76 kgNevens
990
58 kgZoetemelk
990
68 kgRoche
990
74 kg
2
67 kgPrim
990
76 kgBaronchelli
990
72 kgHoste
990
76 kgNevens
990
58 kgZoetemelk
990
68 kgRoche
990
74 kg
Weight (KG) →
Result →
76
58
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GLAUS Gilbert | 67 |
| 990 | PRIM Tommy | 76 |
| 990 | BARONCHELLI Gianbattista | 72 |
| 990 | HOSTE Frank | 76 |
| 990 | NEVENS Jan | 58 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | ROCHE Stephen | 74 |