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 + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Tipper
1
78 kgHasnaoui
2
80 kgPalini
3
67 kgKers
4
71 kgMansouri
7
66 kgZakharov
9
70 kgJovanović
10
60 kg
1
78 kgHasnaoui
2
80 kgPalini
3
67 kgKers
4
71 kgMansouri
7
66 kgZakharov
9
70 kgJovanović
10
60 kg
Weight (KG) →
Result →
80
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TIPPER Jacob | 78 |
| 2 | HASNAOUI Maher | 80 |
| 3 | PALINI Andrea | 67 |
| 4 | KERS Koos Jeroen | 71 |
| 7 | MANSOURI Abderrahmane | 66 |
| 9 | ZAKHAROV Artyom | 70 |
| 10 | JOVANOVIĆ Nebojša | 60 |