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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Moncoutié
1
69 kgBrard
2
74 kgHalgand
3
67 kgLhuillier
5
69 kgSalmon
8
60 kgMattan
9
69 kgJulich
10
68 kg
1
69 kgBrard
2
74 kgHalgand
3
67 kgLhuillier
5
69 kgSalmon
8
60 kgMattan
9
69 kgJulich
10
68 kg
Weight (KG) →
Result →
74
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONCOUTIÉ David | 69 |
| 2 | BRARD Florent | 74 |
| 3 | HALGAND Patrice | 67 |
| 5 | LHUILLIER Régis | 69 |
| 8 | SALMON Benoît | 60 |
| 9 | MATTAN Nico | 69 |
| 10 | JULICH Bobby | 68 |