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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Vos
1
58 kgAmialiusik
2
53 kgTreier
3
62 kgGunnewijk
4
67 kgBrand
6
57 kgvan der Breggen
9
56 kgBurchenkova
10
67 kg
1
58 kgAmialiusik
2
53 kgTreier
3
62 kgGunnewijk
4
67 kgBrand
6
57 kgvan der Breggen
9
56 kgBurchenkova
10
67 kg
Weight (KG) →
Result →
67
53
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | AMIALIUSIK Alena | 53 |
| 3 | TREIER Grete | 62 |
| 4 | GUNNEWIJK Loes | 67 |
| 6 | BRAND Lucinda | 57 |
| 9 | VAN DER BREGGEN Anna | 56 |
| 10 | BURCHENKOVA Alexandra | 67 |