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 = 1.8 * weight - 93
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Derycke
1
70 kgOckers
10
61 kgGoasmat
31
60 kgCogan
35
68 kgCoppi
36
72 kgBartali
48
69 kgBobet
62
74 kg
1
70 kgOckers
10
61 kgGoasmat
31
60 kgCogan
35
68 kgCoppi
36
72 kgBartali
48
69 kgBobet
62
74 kg
Weight (KG) →
Result →
74
60
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DERYCKE Germain | 70 |
| 10 | OCKERS Stan | 61 |
| 31 | GOASMAT Jean-Marie | 60 |
| 35 | COGAN Pierre | 68 |
| 36 | COPPI Fausto | 72 |
| 48 | BARTALI Gino | 69 |
| 62 | BOBET Louison | 74 |