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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kelly
2
77 kgPlanckaert
3
69 kgBernaudeau
12
64 kgDomínguez
13
67 kgInduráin
20
76 kg
2
77 kgPlanckaert
3
69 kgBernaudeau
12
64 kgDomínguez
13
67 kgInduráin
20
76 kg
Weight (KG) →
Result →
77
64
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELLY Sean | 77 |
| 3 | PLANCKAERT Eddy | 69 |
| 12 | BERNAUDEAU Jean-René | 64 |
| 13 | DOMÍNGUEZ Manuel Jorge | 67 |
| 20 | INDURÁIN Miguel | 76 |