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 - 71
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Rojas
1
58 kgBonilla
9
73 kgLachance
20
72 kgErshov
29
70 kgSerov
30
77 kgRaabe
32
71 kgRoth
34
70 kg
1
58 kgBonilla
9
73 kgLachance
20
72 kgErshov
29
70 kgSerov
30
77 kgRaabe
32
71 kgRoth
34
70 kg
Weight (KG) →
Result →
77
58
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 9 | BONILLA José Adrián | 73 |
| 20 | LACHANCE Jean-Michel | 72 |
| 29 | ERSHOV Artur | 70 |
| 30 | SEROV Alexander | 77 |
| 32 | RAABE Henry | 71 |
| 34 | ROTH Ryan | 70 |