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 = 11.1 * weight - 78
This means that on average for every extra kilogram weight a rider loses 11.1 positions in the result.
Baronchelli
1
72 kgGavazzi
3
67 kgMoser
990
79 kgPrim
990
76 kgJohansson
990
71 kgVandi
990
64 kgSegersall
990
65 kg
1
72 kgGavazzi
3
67 kgMoser
990
79 kgPrim
990
76 kgJohansson
990
71 kgVandi
990
64 kgSegersall
990
65 kg
Weight (KG) →
Result →
79
64
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARONCHELLI Gianbattista | 72 |
| 3 | GAVAZZI Pierino | 67 |
| 990 | MOSER Francesco | 79 |
| 990 | PRIM Tommy | 76 |
| 990 | JOHANSSON Bernt | 71 |
| 990 | VANDI Alfio | 64 |
| 990 | SEGERSALL Alf | 65 |