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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Rojas
1
58 kgRoth
2
70 kgRaabe
3
71 kgBonilla
6
73 kgSerov
8
77 kgLachance
13
72 kgKlimov
19
69 kgErshov
34
70 kg
1
58 kgRoth
2
70 kgRaabe
3
71 kgBonilla
6
73 kgSerov
8
77 kgLachance
13
72 kgKlimov
19
69 kgErshov
34
70 kg
Weight (KG) →
Result →
77
58
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 2 | ROTH Ryan | 70 |
| 3 | RAABE Henry | 71 |
| 6 | BONILLA José Adrián | 73 |
| 8 | SEROV Alexander | 77 |
| 13 | LACHANCE Jean-Michel | 72 |
| 19 | KLIMOV Sergey | 69 |
| 34 | ERSHOV Artur | 70 |