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 - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Roth
2
70 kgLachance
6
72 kgBonilla
8
73 kgRojas
9
58 kgKlimov
12
69 kgSerov
18
77 kgRaabe
24
71 kgErshov
48
70 kg
2
70 kgLachance
6
72 kgBonilla
8
73 kgRojas
9
58 kgKlimov
12
69 kgSerov
18
77 kgRaabe
24
71 kgErshov
48
70 kg
Weight (KG) →
Result →
77
58
2
48
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROTH Ryan | 70 |
| 6 | LACHANCE Jean-Michel | 72 |
| 8 | BONILLA José Adrián | 73 |
| 9 | ROJAS Juan Carlos | 58 |
| 12 | KLIMOV Sergey | 69 |
| 18 | SEROV Alexander | 77 |
| 24 | RAABE Henry | 71 |
| 48 | ERSHOV Artur | 70 |