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 = 0.6 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Buffaz
1
64 kgGadret
2
58 kgPasseron
6
73 kgDuret
10
62 kgDrujon
15
75 kgKuschynski
17
65 kgHeijboer
19
78 kg
1
64 kgGadret
2
58 kgPasseron
6
73 kgDuret
10
62 kgDrujon
15
75 kgKuschynski
17
65 kgHeijboer
19
78 kg
Weight (KG) →
Result →
78
58
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUFFAZ Mickaël | 64 |
| 2 | GADRET John | 58 |
| 6 | PASSERON Aurélien | 73 |
| 10 | DURET Sébastien | 62 |
| 15 | DRUJON Mathieu | 75 |
| 17 | KUSCHYNSKI Aleksandr | 65 |
| 19 | HEIJBOER Mathieu | 78 |