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 = 2.2 * weight - 117
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Rojas
1
58 kgBonilla
14
73 kgLachance
33
72 kgErshov
41
70 kgRaabe
47
71 kgSerov
53
77 kgKlimov
54
69 kgRoth
61
70 kg
1
58 kgBonilla
14
73 kgLachance
33
72 kgErshov
41
70 kgRaabe
47
71 kgSerov
53
77 kgKlimov
54
69 kgRoth
61
70 kg
Weight (KG) →
Result →
77
58
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 14 | BONILLA José Adrián | 73 |
| 33 | LACHANCE Jean-Michel | 72 |
| 41 | ERSHOV Artur | 70 |
| 47 | RAABE Henry | 71 |
| 53 | SEROV Alexander | 77 |
| 54 | KLIMOV Sergey | 69 |
| 61 | ROTH Ryan | 70 |