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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Dima
1
73 kgPawlak
2
81 kgVerstraeten
7
67 kgRudys
8
60 kgČanecký
13
72 kg
1
73 kgPawlak
2
81 kgVerstraeten
7
67 kgRudys
8
60 kgČanecký
13
72 kg
Weight (KG) →
Result →
81
60
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIMA Emil | 73 |
| 2 | PAWLAK Tobiasz | 81 |
| 7 | VERSTRAETEN Jari | 67 |
| 8 | RUDYS Paul | 60 |
| 13 | ČANECKÝ Marek | 72 |