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 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Rojas
1
58 kgBonilla
11
73 kgSerov
16
77 kgErshov
27
70 kgRoth
28
70 kgRaabe
29
71 kgKlimov
40
69 kgLachance
46
72 kg
1
58 kgBonilla
11
73 kgSerov
16
77 kgErshov
27
70 kgRoth
28
70 kgRaabe
29
71 kgKlimov
40
69 kgLachance
46
72 kg
Weight (KG) →
Result →
77
58
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 11 | BONILLA José Adrián | 73 |
| 16 | SEROV Alexander | 77 |
| 27 | ERSHOV Artur | 70 |
| 28 | ROTH Ryan | 70 |
| 29 | RAABE Henry | 71 |
| 40 | KLIMOV Sergey | 69 |
| 46 | LACHANCE Jean-Michel | 72 |