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 - 15
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bartali
4
69 kgOckers
5
61 kgCoppi
10
72 kgCogan
19
68 kgBobet
20
74 kgGoasmat
21
60 kgDerycke
43
70 kg
4
69 kgOckers
5
61 kgCoppi
10
72 kgCogan
19
68 kgBobet
20
74 kgGoasmat
21
60 kgDerycke
43
70 kg
Weight (KG) →
Result →
74
60
4
43
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BARTALI Gino | 69 |
| 5 | OCKERS Stan | 61 |
| 10 | COPPI Fausto | 72 |
| 19 | COGAN Pierre | 68 |
| 20 | BOBET Louison | 74 |
| 21 | GOASMAT Jean-Marie | 60 |
| 43 | DERYCKE Germain | 70 |