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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Krotký
5
73 kgHegreberg
6
72 kgWinn
8
70 kgNewton
9
69 kgElliott
11
76 kgOliphant
12
66 kg
5
73 kgHegreberg
6
72 kgWinn
8
70 kgNewton
9
69 kgElliott
11
76 kgOliphant
12
66 kg
Weight (KG) →
Result →
76
66
5
12
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KROTKÝ Rostislav | 73 |
| 6 | HEGREBERG Morten | 72 |
| 8 | WINN Julian | 70 |
| 9 | NEWTON Christopher | 69 |
| 11 | ELLIOTT Malcolm | 76 |
| 12 | OLIPHANT Evan | 66 |