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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Abbott
1
52 kgHobson
3
55 kgThornburn
5
56 kgBeltman
7
68 kgTeutenberg
8
64 kgWood
14
56 kg
1
52 kgHobson
3
55 kgThornburn
5
56 kgBeltman
7
68 kgTeutenberg
8
64 kgWood
14
56 kg
Weight (KG) →
Result →
68
52
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABBOTT Mara | 52 |
| 3 | HOBSON Leigh | 55 |
| 5 | THORNBURN Christine | 56 |
| 7 | BELTMAN Chantal | 68 |
| 8 | TEUTENBERG Ina-Yoko | 64 |
| 14 | WOOD Oenone | 56 |