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 = -2.7 * weight + 199
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Winn
1
70 kgO'Loughlin
5
68 kgMcCann
6
73 kgTanner
10
70 kgKodanipork
18
69 kgKiernan
34
62 kg
1
70 kgO'Loughlin
5
68 kgMcCann
6
73 kgTanner
10
70 kgKodanipork
18
69 kgKiernan
34
62 kg
Weight (KG) →
Result →
73
62
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WINN Julian | 70 |
| 5 | O'LOUGHLIN David | 68 |
| 6 | MCCANN David | 73 |
| 10 | TANNER John | 70 |
| 18 | KODANIPORK Raido | 69 |
| 34 | KIERNAN Mark | 62 |