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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Witecki
1
70 kgBaranowski
2
68 kgRutkiewicz
4
66 kgFirsanov
7
58 kgMahďar
8
61 kgKrupa
11
74 kgLaengen
12
79 kg
1
70 kgBaranowski
2
68 kgRutkiewicz
4
66 kgFirsanov
7
58 kgMahďar
8
61 kgKrupa
11
74 kgLaengen
12
79 kg
Weight (KG) →
Result →
79
58
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WITECKI Mariusz | 70 |
| 2 | BARANOWSKI Dariusz | 68 |
| 4 | RUTKIEWICZ Marek | 66 |
| 7 | FIRSANOV Sergey | 58 |
| 8 | MAHĎAR Martin | 61 |
| 11 | KRUPA Dawid | 74 |
| 12 | LAENGEN Vegard Stake | 79 |