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 = 1.5 * weight - 78
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Lachance
1
72 kgRojas
3
58 kgBonilla
4
73 kgErshov
21
70 kgRaabe
31
71 kgRoth
35
70 kgKlimov
43
69 kgSerov
48
77 kg
1
72 kgRojas
3
58 kgBonilla
4
73 kgErshov
21
70 kgRaabe
31
71 kgRoth
35
70 kgKlimov
43
69 kgSerov
48
77 kg
Weight (KG) →
Result →
77
58
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LACHANCE Jean-Michel | 72 |
| 3 | ROJAS Juan Carlos | 58 |
| 4 | BONILLA José Adrián | 73 |
| 21 | ERSHOV Artur | 70 |
| 31 | RAABE Henry | 71 |
| 35 | ROTH Ryan | 70 |
| 43 | KLIMOV Sergey | 69 |
| 48 | SEROV Alexander | 77 |