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 - 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Brammeier
1
72 kgRoche
2
70 kgMartin
3
59 kgMcCann
4
73 kgO'Loughlin
5
68 kgIrvine
6
80 kgBennett
8
73 kg
1
72 kgRoche
2
70 kgMartin
3
59 kgMcCann
4
73 kgO'Loughlin
5
68 kgIrvine
6
80 kgBennett
8
73 kg
Weight (KG) →
Result →
80
59
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAMMEIER Matt | 72 |
| 2 | ROCHE Nicolas | 70 |
| 3 | MARTIN Dan | 59 |
| 4 | MCCANN David | 73 |
| 5 | O'LOUGHLIN David | 68 |
| 6 | IRVINE Martyn | 80 |
| 8 | BENNETT Sam | 73 |