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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Hegreberg
2
72 kgNewton
4
69 kgOliphant
5
66 kgElliott
6
76 kgKukk
8
74 kgKrotký
11
73 kgRasch
13
72 kg
2
72 kgNewton
4
69 kgOliphant
5
66 kgElliott
6
76 kgKukk
8
74 kgKrotký
11
73 kgRasch
13
72 kg
Weight (KG) →
Result →
76
66
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HEGREBERG Morten | 72 |
| 4 | NEWTON Christopher | 69 |
| 5 | OLIPHANT Evan | 66 |
| 6 | ELLIOTT Malcolm | 76 |
| 8 | KUKK Sigvard | 74 |
| 11 | KROTKÝ Rostislav | 73 |
| 13 | RASCH Gabriel | 72 |