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 = 0.7 * weight - 44
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Matysiak
1
71 kgPower
2
68 kgHegreberg
6
72 kgFox
8
70 kgO'Loughlin
13
68 kgPate
16
73 kg
1
71 kgPower
2
68 kgHegreberg
6
72 kgFox
8
70 kgO'Loughlin
13
68 kgPate
16
73 kg
Weight (KG) →
Result →
73
68
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MATYSIAK Bartłomiej | 71 |
| 2 | POWER Ciarán | 68 |
| 6 | HEGREBERG Morten | 72 |
| 8 | FOX Morgan | 70 |
| 13 | O'LOUGHLIN David | 68 |
| 16 | PATE Danny | 73 |