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 = 1.1 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Boven
2
62 kgStaune-Mittet
3
67 kgPaleni
4
65 kgLeclainche
5
65 kgDebruyne
6
66 kgThompson
11
66 kgGelders
12
66 kg
2
62 kgStaune-Mittet
3
67 kgPaleni
4
65 kgLeclainche
5
65 kgDebruyne
6
66 kgThompson
11
66 kgGelders
12
66 kg
Weight (KG) →
Result →
67
62
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOVEN Lars | 62 |
| 3 | STAUNE-MITTET Johannes | 67 |
| 4 | PALENI Enzo | 65 |
| 5 | LECLAINCHE Gwen | 65 |
| 6 | DEBRUYNE Ramses | 66 |
| 11 | THOMPSON Reuben | 66 |
| 12 | GELDERS Gil | 66 |