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 = -24.8 * weight + 2516
This means that on average for every extra kilogram weight a rider loses -24.8 positions in the result.
van der Poel
10
70 kgKuiper
990
69 kgBernaudeau
990
64 kgMartin
990
62 kgZoetemelk
990
68 kgBourreau
990
63 kgRoche
990
74 kg
10
70 kgKuiper
990
69 kgBernaudeau
990
64 kgMartin
990
62 kgZoetemelk
990
68 kgBourreau
990
63 kgRoche
990
74 kg
Weight (KG) →
Result →
74
62
10
990
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | VAN DER POEL Adrie | 70 |
| 990 | KUIPER Hennie | 69 |
| 990 | BERNAUDEAU Jean-René | 64 |
| 990 | MARTIN Raymond | 62 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | BOURREAU Bernard | 63 |
| 990 | ROCHE Stephen | 74 |