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 = -84.6 * weight + 6390
This means that on average for every extra kilogram weight a rider loses -84.6 positions in the result.
van der Poel
2
70 kgRoche
9
74 kgKuiper
990
69 kgBernaudeau
990
64 kgZoetemelk
990
68 kgMartin
990
62 kgBourreau
990
63 kg
2
70 kgRoche
9
74 kgKuiper
990
69 kgBernaudeau
990
64 kgZoetemelk
990
68 kgMartin
990
62 kgBourreau
990
63 kg
Weight (KG) →
Result →
74
62
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN DER POEL Adrie | 70 |
| 9 | ROCHE Stephen | 74 |
| 990 | KUIPER Hennie | 69 |
| 990 | BERNAUDEAU Jean-René | 64 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | MARTIN Raymond | 62 |
| 990 | BOURREAU Bernard | 63 |