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 = 3 * weight - 183
This means that on average for every extra kilogram weight a rider loses 3 positions in the result.
Cogan
3
68 kgGoasmat
6
60 kgOckers
7
61 kgBartali
8
69 kgCoppi
10
72 kgDerycke
55
70 kgBobet
68
74 kg
3
68 kgGoasmat
6
60 kgOckers
7
61 kgBartali
8
69 kgCoppi
10
72 kgDerycke
55
70 kgBobet
68
74 kg
Weight (KG) →
Result →
74
60
3
68
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | COGAN Pierre | 68 |
| 6 | GOASMAT Jean-Marie | 60 |
| 7 | OCKERS Stan | 61 |
| 8 | BARTALI Gino | 69 |
| 10 | COPPI Fausto | 72 |
| 55 | DERYCKE Germain | 70 |
| 68 | BOBET Louison | 74 |