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 = -0.6 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Sheehan
1
69 kgQuinn
2
67 kgMiles
5
64 kgOnodera
11
63 kgMendez
15
57 kgJuneau
27
67 kg
1
69 kgQuinn
2
67 kgMiles
5
64 kgOnodera
11
63 kgMendez
15
57 kgJuneau
27
67 kg
Weight (KG) →
Result →
69
57
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHEEHAN Riley | 69 |
| 2 | QUINN Sean | 67 |
| 5 | MILES Carson | 64 |
| 11 | ONODERA Kei | 63 |
| 15 | MENDEZ Daniel Alejandro | 57 |
| 27 | JUNEAU Francis | 67 |