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 = -5.2 * weight + 385
This means that on average for every extra kilogram weight a rider loses -5.2 positions in the result.
Bobet
1
74 kgErnzer
16
69 kgBartali
19
69 kgImpanis
27
69 kgForestier
40
70 kgDe Bruyne
42
68 kg
1
74 kgErnzer
16
69 kgBartali
19
69 kgImpanis
27
69 kgForestier
40
70 kgDe Bruyne
42
68 kg
Weight (KG) →
Result →
74
68
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOBET Louison | 74 |
| 16 | ERNZER Marcel | 69 |
| 19 | BARTALI Gino | 69 |
| 27 | IMPANIS Raymond | 69 |
| 40 | FORESTIER Jean | 70 |
| 42 | DE BRUYNE Alfred | 68 |