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 = 0.3 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Brożyna
1
65 kgVainšteins
2
72 kgŠtangelj
3
70 kgRumšas
4
64 kgZamana
5
74 kgSypytkowski
6
76 kgPawlak
8
73 kg
1
65 kgVainšteins
2
72 kgŠtangelj
3
70 kgRumšas
4
64 kgZamana
5
74 kgSypytkowski
6
76 kgPawlak
8
73 kg
Weight (KG) →
Result →
76
64
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROŻYNA Tomasz | 65 |
| 2 | VAINŠTEINS Romāns | 72 |
| 3 | ŠTANGELJ Gorazd | 70 |
| 4 | RUMŠAS Raimondas | 64 |
| 5 | ZAMANA Cezary | 74 |
| 6 | SYPYTKOWSKI Andrzej | 76 |
| 8 | PAWLAK Wojciech | 73 |