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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Townsend
2
73 kgCuley
4
69 kgStedman
5
54 kgMeyer
9
70 kgHoller
10
58 kgTanfield
11
79.5 kgHamilton
12
71 kg
2
73 kgCuley
4
69 kgStedman
5
54 kgMeyer
9
70 kgHoller
10
58 kgTanfield
11
79.5 kgHamilton
12
71 kg
Weight (KG) →
Result →
79.5
54
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TOWNSEND Rory | 73 |
| 4 | CULEY Marcus | 69 |
| 5 | STEDMAN Maximilian | 54 |
| 9 | MEYER Cameron | 70 |
| 10 | HOLLER Nikodemus | 58 |
| 11 | TANFIELD Harry | 79.5 |
| 12 | HAMILTON Lucas | 71 |