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 - 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Teutenberg
1
66 kgAbduzhaparov
2
72 kgMoncassin
3
73 kgElliott
4
76 kgPiziks
5
70 kg
1
66 kgAbduzhaparov
2
72 kgMoncassin
3
73 kgElliott
4
76 kgPiziks
5
70 kg
Weight (KG) →
Result →
76
66
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEUTENBERG Sven | 66 |
| 2 | ABDUZHAPAROV Djamolidine | 72 |
| 3 | MONCASSIN Frédéric | 73 |
| 4 | ELLIOTT Malcolm | 76 |
| 5 | PIZIKS Arvis | 70 |