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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Reusser
1
70 kgChabbey
2
52 kgBaur
4
56 kgSeitz
9
58 kgHanselmann
12
55 kgChauveau
20
63 kgAndres
21
62 kg
1
70 kgChabbey
2
52 kgBaur
4
56 kgSeitz
9
58 kgHanselmann
12
55 kgChauveau
20
63 kgAndres
21
62 kg
Weight (KG) →
Result →
70
52
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REUSSER Marlen | 70 |
| 2 | CHABBEY Elise | 52 |
| 4 | BAUR Caroline | 56 |
| 9 | SEITZ Aline | 58 |
| 12 | HANSELMANN Nicole | 55 |
| 20 | CHAUVEAU Caroline | 63 |
| 21 | ANDRES Michelle | 62 |