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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Townsend
1
73 kgTanfield
2
79.5 kgStedman
6
54 kgCuley
12
69 kgMuzychkin
14
76 kg
1
73 kgTanfield
2
79.5 kgStedman
6
54 kgCuley
12
69 kgMuzychkin
14
76 kg
Weight (KG) →
Result →
79.5
54
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TOWNSEND Rory | 73 |
| 2 | TANFIELD Harry | 79.5 |
| 6 | STEDMAN Maximilian | 54 |
| 12 | CULEY Marcus | 69 |
| 14 | MUZYCHKIN Anton | 76 |