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 = 0.2 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Johansson
1
71 kgBaronchelli
7
72 kgVandi
10
64 kgSefton
14
68 kgKnudsen
23
79 kgMarcussen
24
70 kgGavazzi
30
67 kg
1
71 kgBaronchelli
7
72 kgVandi
10
64 kgSefton
14
68 kgKnudsen
23
79 kgMarcussen
24
70 kgGavazzi
30
67 kg
Weight (KG) →
Result →
79
64
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOHANSSON Bernt | 71 |
| 7 | BARONCHELLI Gianbattista | 72 |
| 10 | VANDI Alfio | 64 |
| 14 | SEFTON Clyde | 68 |
| 23 | KNUDSEN Knut | 79 |
| 24 | MARCUSSEN Jørgen | 70 |
| 30 | GAVAZZI Pierino | 67 |