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 = -0.9 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Pickrell
1
72 kgSheehan
3
69 kgMainguenaud
7
63 kgKirby
11
70 kgGilbertson
22
68 kgQuinn
24
67 kg
1
72 kgSheehan
3
69 kgMainguenaud
7
63 kgKirby
11
70 kgGilbertson
22
68 kgQuinn
24
67 kg
Weight (KG) →
Result →
72
63
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PICKRELL Riley | 72 |
| 3 | SHEEHAN Riley | 69 |
| 7 | MAINGUENAUD Tom | 63 |
| 11 | KIRBY Kyle | 70 |
| 22 | GILBERTSON Theo | 68 |
| 24 | QUINN Sean | 67 |