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 = -1.2 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Bartali
13
69 kgImpanis
22
69 kgErnzer
29
69 kgBobet
34
74 kgForestier
54
70 kgDe Bruyne
68
68 kg
13
69 kgImpanis
22
69 kgErnzer
29
69 kgBobet
34
74 kgForestier
54
70 kgDe Bruyne
68
68 kg
Weight (KG) →
Result →
74
68
13
68
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | BARTALI Gino | 69 |
| 22 | IMPANIS Raymond | 69 |
| 29 | ERNZER Marcel | 69 |
| 34 | BOBET Louison | 74 |
| 54 | FORESTIER Jean | 70 |
| 68 | DE BRUYNE Alfred | 68 |