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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Bernaudeau
1
64 kgZoetemelk
2
68 kgvan der Poel
4
70 kgRoche
5
74 kgMartin
17
62 kgBourreau
20
63 kgKuiper
31
69 kg
1
64 kgZoetemelk
2
68 kgvan der Poel
4
70 kgRoche
5
74 kgMartin
17
62 kgBourreau
20
63 kgKuiper
31
69 kg
Weight (KG) →
Result →
74
62
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERNAUDEAU Jean-René | 64 |
| 2 | ZOETEMELK Joop | 68 |
| 4 | VAN DER POEL Adrie | 70 |
| 5 | ROCHE Stephen | 74 |
| 17 | MARTIN Raymond | 62 |
| 20 | BOURREAU Bernard | 63 |
| 31 | KUIPER Hennie | 69 |