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 = -1.3 * weight + 121
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Lachance
2
72 kgSerov
5
77 kgErshov
9
70 kgBonilla
17
73 kgRojas
29
58 kgRaabe
49
71 kgRoth
61
70 kgKlimov
64
69 kg
2
72 kgSerov
5
77 kgErshov
9
70 kgBonilla
17
73 kgRojas
29
58 kgRaabe
49
71 kgRoth
61
70 kgKlimov
64
69 kg
Weight (KG) →
Result →
77
58
2
64
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LACHANCE Jean-Michel | 72 |
| 5 | SEROV Alexander | 77 |
| 9 | ERSHOV Artur | 70 |
| 17 | BONILLA José Adrián | 73 |
| 29 | ROJAS Juan Carlos | 58 |
| 49 | RAABE Henry | 71 |
| 61 | ROTH Ryan | 70 |
| 64 | KLIMOV Sergey | 69 |