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 = 2.1 * weight - 117
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Lachance
4
72 kgRojas
8
58 kgKlimov
11
69 kgBonilla
16
73 kgRoth
50
70 kgErshov
55
70 kgRaabe
57
71 kgSerov
63
77 kg
4
72 kgRojas
8
58 kgKlimov
11
69 kgBonilla
16
73 kgRoth
50
70 kgErshov
55
70 kgRaabe
57
71 kgSerov
63
77 kg
Weight (KG) →
Result →
77
58
4
63
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | LACHANCE Jean-Michel | 72 |
| 8 | ROJAS Juan Carlos | 58 |
| 11 | KLIMOV Sergey | 69 |
| 16 | BONILLA José Adrián | 73 |
| 50 | ROTH Ryan | 70 |
| 55 | ERSHOV Artur | 70 |
| 57 | RAABE Henry | 71 |
| 63 | SEROV Alexander | 77 |