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 = 2.7 * weight - 151
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Ockers
2
61 kgDerycke
13
70 kgGoasmat
29
60 kgCogan
30
68 kgCoppi
46
72 kgBartali
47
69 kgBobet
64
74 kg
2
61 kgDerycke
13
70 kgGoasmat
29
60 kgCogan
30
68 kgCoppi
46
72 kgBartali
47
69 kgBobet
64
74 kg
Weight (KG) →
Result →
74
60
2
64
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OCKERS Stan | 61 |
| 13 | DERYCKE Germain | 70 |
| 29 | GOASMAT Jean-Marie | 60 |
| 30 | COGAN Pierre | 68 |
| 46 | COPPI Fausto | 72 |
| 47 | BARTALI Gino | 69 |
| 64 | BOBET Louison | 74 |