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 = -0.4 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
de Jongh
1
76 kgPlanckaert
2
70 kgNazon
3
74 kgKirsipuu
4
80 kgCasper
7
69 kgCapelle
8
73 kgCassani
9
65 kg
1
76 kgPlanckaert
2
70 kgNazon
3
74 kgKirsipuu
4
80 kgCasper
7
69 kgCapelle
8
73 kgCassani
9
65 kg
Weight (KG) →
Result →
80
65
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE JONGH Steven | 76 |
| 2 | PLANCKAERT Jo | 70 |
| 3 | NAZON Jean-Patrick | 74 |
| 4 | KIRSIPUU Jaan | 80 |
| 7 | CASPER Jimmy | 69 |
| 8 | CAPELLE Christophe | 73 |
| 9 | CASSANI Enrico | 65 |