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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Janse van Rensburg
1
74 kgKern
2
65 kgJungels
3
70 kgPhelan
4
73 kgGolčer
5
66.5 kgSteensen
6
65 kgLamoisson
9
69 kg
1
74 kgKern
2
65 kgJungels
3
70 kgPhelan
4
73 kgGolčer
5
66.5 kgSteensen
6
65 kgLamoisson
9
69 kg
Weight (KG) →
Result →
74
65
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JANSE VAN RENSBURG Reinardt | 74 |
| 2 | KERN Julian | 65 |
| 3 | JUNGELS Bob | 70 |
| 4 | PHELAN Adam | 73 |
| 5 | GOLČER Jure | 66.5 |
| 6 | STEENSEN André | 65 |
| 9 | LAMOISSON Morgan | 69 |