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 = 0.9 * weight - 48
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Buchmann
2
59 kgSmit
4
72 kgCarthy
9
69 kgBester
12
67 kgPorter
17
73 kgDougall
20
72 kg
2
59 kgSmit
4
72 kgCarthy
9
69 kgBester
12
67 kgPorter
17
73 kgDougall
20
72 kg
Weight (KG) →
Result →
73
59
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUCHMANN Emanuel | 59 |
| 4 | SMIT Willie | 72 |
| 9 | CARTHY Hugh | 69 |
| 12 | BESTER Shaun-Nick | 67 |
| 17 | PORTER Elliott | 73 |
| 20 | DOUGALL Nic | 72 |