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 = -0.5 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Dowsett
1
75 kgPaillot
4
72 kgGuillemois
5
66 kgTurgis
10
63 kgNauleau
16
67 kgReza
18
71 kg
1
75 kgPaillot
4
72 kgGuillemois
5
66 kgTurgis
10
63 kgNauleau
16
67 kgReza
18
71 kg
Weight (KG) →
Result →
75
63
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOWSETT Alex | 75 |
| 4 | PAILLOT Yoann | 72 |
| 5 | GUILLEMOIS Romain | 66 |
| 10 | TURGIS Jimmy | 63 |
| 16 | NAULEAU Bryan | 67 |
| 18 | REZA Kévin | 71 |