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 - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Mullen
1
77 kgRoche
2
70 kgO'Loughlin
4
72 kgMcDunphy
5
70 kgDunbar
7
57 kgMcmullan
21
85 kg
1
77 kgRoche
2
70 kgO'Loughlin
4
72 kgMcDunphy
5
70 kgDunbar
7
57 kgMcmullan
21
85 kg
Weight (KG) →
Result →
85
57
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MULLEN Ryan | 77 |
| 2 | ROCHE Nicolas | 70 |
| 4 | O'LOUGHLIN Michael | 72 |
| 5 | MCDUNPHY Conn | 70 |
| 7 | DUNBAR Eddie | 57 |
| 21 | MCMULLAN Luke | 85 |