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 = -5.4 * weight + 387
This means that on average for every extra kilogram weight a rider loses -5.4 positions in the result.
McCann
1
73 kgWinn
2
70 kgTanner
3
70 kgO'Loughlin
24
68 kgKodanipork
30
69 kg
1
73 kgWinn
2
70 kgTanner
3
70 kgO'Loughlin
24
68 kgKodanipork
30
69 kg
Weight (KG) →
Result →
73
68
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCANN David | 73 |
| 2 | WINN Julian | 70 |
| 3 | TANNER John | 70 |
| 24 | O'LOUGHLIN David | 68 |
| 30 | KODANIPORK Raido | 69 |