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 = 0.1 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Renard
2
74 kgPaterski
6
73 kgBugter
7
81 kgGate
8
71 kgPedersen
11
84 kgSykala
12
72 kg
2
74 kgPaterski
6
73 kgBugter
7
81 kgGate
8
71 kgPedersen
11
84 kgSykala
12
72 kg
Weight (KG) →
Result →
84
71
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RENARD Alexis | 74 |
| 6 | PATERSKI Maciej | 73 |
| 7 | BUGTER Luuc | 81 |
| 8 | GATE Aaron | 71 |
| 11 | PEDERSEN Rasmus Lund | 84 |
| 12 | SYKALA Wojciech | 72 |