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 = 0.8 * weight - 47
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Riis
1
71 kgEkimov
2
69 kgJalabert
3
66 kgBrochard
5
68 kgGayant
8
69 kgFarazijn
12
69 kgBruyneel
13
71 kg
1
71 kgEkimov
2
69 kgJalabert
3
66 kgBrochard
5
68 kgGayant
8
69 kgFarazijn
12
69 kgBruyneel
13
71 kg
Weight (KG) →
Result →
71
66
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIIS Bjarne | 71 |
| 2 | EKIMOV Viatcheslav | 69 |
| 3 | JALABERT Laurent | 66 |
| 5 | BROCHARD Laurent | 68 |
| 8 | GAYANT Martial | 69 |
| 12 | FARAZIJN Peter | 69 |
| 13 | BRUYNEEL Johan | 71 |