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 = -1 * weight + 80
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Brammeier
1
72 kgRoche
2
70 kgIrvine
4
80 kgMcconvey
6
67 kgClancy
25
63 kg
1
72 kgRoche
2
70 kgIrvine
4
80 kgMcconvey
6
67 kgClancy
25
63 kg
Weight (KG) →
Result →
80
63
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAMMEIER Matt | 72 |
| 2 | ROCHE Nicolas | 70 |
| 4 | IRVINE Martyn | 80 |
| 6 | MCCONVEY Connor | 67 |
| 25 | CLANCY Stephen | 63 |