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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Townsend
1
73 kgTanfield
2
79.5 kgStedman
7
54 kgCuley
8
69 kgMuzychkin
17
76 kgHoller
18
58 kg
1
73 kgTanfield
2
79.5 kgStedman
7
54 kgCuley
8
69 kgMuzychkin
17
76 kgHoller
18
58 kg
Weight (KG) →
Result →
79.5
54
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TOWNSEND Rory | 73 |
| 2 | TANFIELD Harry | 79.5 |
| 7 | STEDMAN Maximilian | 54 |
| 8 | CULEY Marcus | 69 |
| 17 | MUZYCHKIN Anton | 76 |
| 18 | HOLLER Nikodemus | 58 |