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 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Kreder
1
71 kgElissonde
2
52 kgBardet
3
65 kgLe Bon
5
70 kgTortelier
7
63 kg
1
71 kgElissonde
2
52 kgBardet
3
65 kgLe Bon
5
70 kgTortelier
7
63 kg
Weight (KG) →
Result →
71
52
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KREDER Wesley | 71 |
| 2 | ELISSONDE Kenny | 52 |
| 3 | BARDET Romain | 65 |
| 5 | LE BON Johan | 70 |
| 7 | TORTELIER Etienne | 63 |