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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Horvat
1
70 kgLambrecht
2
56 kgHirschi
3
61 kgGall
4
66 kgZimmermann
5
70 kgConci
6
68 kgSalmon
10
59 kg
1
70 kgLambrecht
2
56 kgHirschi
3
61 kgGall
4
66 kgZimmermann
5
70 kgConci
6
68 kgSalmon
10
59 kg
Weight (KG) →
Result →
70
56
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HORVAT Žiga | 70 |
| 2 | LAMBRECHT Bjorg | 56 |
| 3 | HIRSCHI Marc | 61 |
| 4 | GALL Felix | 66 |
| 5 | ZIMMERMANN Georg | 70 |
| 6 | CONCI Nicola | 68 |
| 10 | SALMON Martin | 59 |