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 = 1.3 * weight - 81
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
McEvoy
2
67 kgKennaugh
3
66 kgDowsett
4
75 kgBellis
7
69 kgMcNally
15
72 kgBurke
22
78 kg
2
67 kgKennaugh
3
66 kgDowsett
4
75 kgBellis
7
69 kgMcNally
15
72 kgBurke
22
78 kg
Weight (KG) →
Result →
78
66
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MCEVOY Jonathan | 67 |
| 3 | KENNAUGH Peter | 66 |
| 4 | DOWSETT Alex | 75 |
| 7 | BELLIS Jonathan | 69 |
| 15 | MCNALLY Mark | 72 |
| 22 | BURKE Steven | 78 |