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 + 38
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Johansson
1
71 kgRiccomi
3
66 kgGavazzi
4
67 kgSaronni
5
65 kgSefton
6
68 kgBiddle
10
64 kgAlgeri
18
68 kg
1
71 kgRiccomi
3
66 kgGavazzi
4
67 kgSaronni
5
65 kgSefton
6
68 kgBiddle
10
64 kgAlgeri
18
68 kg
Weight (KG) →
Result →
71
64
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOHANSSON Bernt | 71 |
| 3 | RICCOMI Walter | 66 |
| 4 | GAVAZZI Pierino | 67 |
| 5 | SARONNI Giuseppe | 65 |
| 6 | SEFTON Clyde | 68 |
| 10 | BIDDLE Bruce | 64 |
| 18 | ALGERI Vittorio | 68 |