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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Grabsch
2
78 kgLang
3
77 kgRasmussen
6
58 kgMahorič
7
68 kgAmorison
8
70 kgPugaci
10
67 kgPrzydział
11
80 kg
2
78 kgLang
3
77 kgRasmussen
6
58 kgMahorič
7
68 kgAmorison
8
70 kgPugaci
10
67 kgPrzydział
11
80 kg
Weight (KG) →
Result →
80
58
2
11
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GRABSCH Bert | 78 |
| 3 | LANG Sebastian | 77 |
| 6 | RASMUSSEN Michael | 58 |
| 7 | MAHORIČ Mitja | 68 |
| 8 | AMORISON Frédéric | 70 |
| 10 | PUGACI Igor | 67 |
| 11 | PRZYDZIAŁ Piotr | 80 |