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 = -0.5 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Simion
1
79 kgRuffoni
3
70 kgFedi
6
70 kgBusato
11
67 kgTheuns
12
72 kgDhaene
15
73 kg
1
79 kgRuffoni
3
70 kgFedi
6
70 kgBusato
11
67 kgTheuns
12
72 kgDhaene
15
73 kg
Weight (KG) →
Result →
79
67
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIMION Paolo | 79 |
| 3 | RUFFONI Nicola | 70 |
| 6 | FEDI Andrea | 70 |
| 11 | BUSATO Matteo | 67 |
| 12 | THEUNS Edward | 72 |
| 15 | DHAENE Brecht | 73 |