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 = 0.2 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Planckaert
1
65 kgBonnafond
2
68 kgMinnaard
3
65 kgEdet
4
60 kgLevarlet
5
67 kgDuval
6
68 kgCecchinel
7
69 kg
1
65 kgBonnafond
2
68 kgMinnaard
3
65 kgEdet
4
60 kgLevarlet
5
67 kgDuval
6
68 kgCecchinel
7
69 kg
Weight (KG) →
Result →
69
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Baptiste | 65 |
| 2 | BONNAFOND Guillaume | 68 |
| 3 | MINNAARD Marco | 65 |
| 4 | EDET Nicolas | 60 |
| 5 | LEVARLET Guillaume | 67 |
| 6 | DUVAL Julien | 68 |
| 7 | CECCHINEL Giorgio | 69 |