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 + 5
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Koning
1
77 kgSchoonbroodt
2
78 kgGoos
3
65 kgvan Baarle
4
78 kgLammertink
7
68 kgReinders
10
78.1 kg
1
77 kgSchoonbroodt
2
78 kgGoos
3
65 kgvan Baarle
4
78 kgLammertink
7
68 kgReinders
10
78.1 kg
Weight (KG) →
Result →
78.1
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KONING Peter | 77 |
| 2 | SCHOONBROODT Bob | 78 |
| 3 | GOOS Marc | 65 |
| 4 | VAN BAARLE Dylan | 78 |
| 7 | LAMMERTINK Steven | 68 |
| 10 | REINDERS Elmar | 78.1 |