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 = 0.4 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Smetanine
1
69 kgVandenbroucke
2
67 kgZberg
3
69 kgMori
5
77 kgDierckxsens
7
71 kgMattan
9
69 kgPeers
10
73 kg
1
69 kgVandenbroucke
2
67 kgZberg
3
69 kgMori
5
77 kgDierckxsens
7
71 kgMattan
9
69 kgPeers
10
73 kg
Weight (KG) →
Result →
77
67
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMETANINE Serguei | 69 |
| 2 | VANDENBROUCKE Frank | 67 |
| 3 | ZBERG Markus | 69 |
| 5 | MORI Massimiliano | 77 |
| 7 | DIERCKXSENS Ludo | 71 |
| 9 | MATTAN Nico | 69 |
| 10 | PEERS Chris | 73 |