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 * weight + 5
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Bates
1
61 kgRoberts
2
71 kgMenzies
3
86 kgElmiger
4
73 kgBak
5
76 kgMercado
6
56 kg
1
61 kgRoberts
2
71 kgMenzies
3
86 kgElmiger
4
73 kgBak
5
76 kgMercado
6
56 kg
Weight (KG) →
Result →
86
56
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BATES Gene | 61 |
| 2 | ROBERTS Luke | 71 |
| 3 | MENZIES Karl | 86 |
| 4 | ELMIGER Martin | 73 |
| 5 | BAK Lars Ytting | 76 |
| 6 | MERCADO Juan Miguel | 56 |