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 = -0.9 * weight + 84
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Serov
1
77 kgRaabe
2
71 kgLachance
3
72 kgBonilla
15
73 kgRojas
16
58 kgErshov
25
70 kgRoth
35
70 kgKlimov
60
69 kg
1
77 kgRaabe
2
71 kgLachance
3
72 kgBonilla
15
73 kgRojas
16
58 kgErshov
25
70 kgRoth
35
70 kgKlimov
60
69 kg
Weight (KG) →
Result →
77
58
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEROV Alexander | 77 |
| 2 | RAABE Henry | 71 |
| 3 | LACHANCE Jean-Michel | 72 |
| 15 | BONILLA José Adrián | 73 |
| 16 | ROJAS Juan Carlos | 58 |
| 25 | ERSHOV Artur | 70 |
| 35 | ROTH Ryan | 70 |
| 60 | KLIMOV Sergey | 69 |