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 = -8.6 * weight + 640
This means that on average for every extra kilogram weight a rider loses -8.6 positions in the result.
Winn
2
70 kgO'Loughlin
7
68 kgMcCann
25
73 kgKodanipork
34
69 kgTanner
114
70 kgKiernan
127
62 kg
2
70 kgO'Loughlin
7
68 kgMcCann
25
73 kgKodanipork
34
69 kgTanner
114
70 kgKiernan
127
62 kg
Weight (KG) →
Result →
73
62
2
127
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WINN Julian | 70 |
| 7 | O'LOUGHLIN David | 68 |
| 25 | MCCANN David | 73 |
| 34 | KODANIPORK Raido | 69 |
| 114 | TANNER John | 70 |
| 127 | KIERNAN Mark | 62 |