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 = 0.1 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Gallopin
1
69 kgKeizer
2
72 kgThurau
5
73 kgSchulting
6
70 kgCordeel
9
80 kgBär
10
66 kg
1
69 kgKeizer
2
72 kgThurau
5
73 kgSchulting
6
70 kgCordeel
9
80 kgBär
10
66 kg
Weight (KG) →
Result →
80
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GALLOPIN Tony | 69 |
| 2 | KEIZER Martijn | 72 |
| 5 | THURAU Björn | 73 |
| 6 | SCHULTING Peter | 70 |
| 9 | CORDEEL Sander | 80 |
| 10 | BÄR Michael | 66 |