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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Přidal
2
66 kgHaugland
4
74 kgVoltr
5
75 kgMarsman
8
75 kgSchönberger
9
64 kgBudziński
11
69 kgKaczmarek
12
66 kg
2
66 kgHaugland
4
74 kgVoltr
5
75 kgMarsman
8
75 kgSchönberger
9
64 kgBudziński
11
69 kgKaczmarek
12
66 kg
Weight (KG) →
Result →
75
64
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PŘIDAL Tomáš | 66 |
| 4 | HAUGLAND Kasper | 74 |
| 5 | VOLTR Martin | 75 |
| 8 | MARSMAN Tim | 75 |
| 9 | SCHÖNBERGER Sebastian | 64 |
| 11 | BUDZIŃSKI Tomasz | 69 |
| 12 | KACZMAREK Jakub | 66 |