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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Thièry
1
67 kgVine
3
69 kgBissegger
5
78 kgGate
7
71 kgWhitehouse
8
58 kgLebas
11
65 kg
1
67 kgVine
3
69 kgBissegger
5
78 kgGate
7
71 kgWhitehouse
8
58 kgLebas
11
65 kg
Weight (KG) →
Result →
78
58
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THIÈRY Cyrille | 67 |
| 3 | VINE Jay | 69 |
| 5 | BISSEGGER Stefan | 78 |
| 7 | GATE Aaron | 71 |
| 8 | WHITEHOUSE Daniel | 58 |
| 11 | LEBAS Thomas | 65 |