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 = -1.1 * weight + 98
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Baronchelli
6
72 kgVandi
10
64 kgPrim
11
76 kgGavazzi
25
67 kgJohansson
36
71 kgSegersall
41
65 kg
6
72 kgVandi
10
64 kgPrim
11
76 kgGavazzi
25
67 kgJohansson
36
71 kgSegersall
41
65 kg
Weight (KG) →
Result →
76
64
6
41
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | BARONCHELLI Gianbattista | 72 |
| 10 | VANDI Alfio | 64 |
| 11 | PRIM Tommy | 76 |
| 25 | GAVAZZI Pierino | 67 |
| 36 | JOHANSSON Bernt | 71 |
| 41 | SEGERSALL Alf | 65 |