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 = 20.2 * weight - 849
This means that on average for every extra kilogram weight a rider loses 20.2 positions in the result.
Sergeant
8
76 kgNevens
10
58 kgGianetti
16
62 kgRichard
990
67 kgZoetemelk
990
68 kgChevallier
990
69 kg
8
76 kgNevens
10
58 kgGianetti
16
62 kgRichard
990
67 kgZoetemelk
990
68 kgChevallier
990
69 kg
Weight (KG) →
Result →
76
58
8
990
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | SERGEANT Marc | 76 |
| 10 | NEVENS Jan | 58 |
| 16 | GIANETTI Mauro | 62 |
| 990 | RICHARD Pascal | 67 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | CHEVALLIER Philippe | 69 |