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 - 25
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Abduzhaparov
1
72 kgRominger
2
65 kgNijdam
3
70 kgDelgado
5
64 kgVanderaerden
10
74 kgBruyneel
11
71 kg
1
72 kgRominger
2
65 kgNijdam
3
70 kgDelgado
5
64 kgVanderaerden
10
74 kgBruyneel
11
71 kg
Weight (KG) →
Result →
74
64
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABDUZHAPAROV Djamolidine | 72 |
| 2 | ROMINGER Tony | 65 |
| 3 | NIJDAM Jelle | 70 |
| 5 | DELGADO Pedro | 64 |
| 10 | VANDERAERDEN Eric | 74 |
| 11 | BRUYNEEL Johan | 71 |