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 = -0.9 * weight + 70
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Wiggins
1
76 kgThomas
2
71 kgDowsett
3
75 kgRowe
4
72 kgChristian
7
72 kgGullen
12
65 kg
1
76 kgThomas
2
71 kgDowsett
3
75 kgRowe
4
72 kgChristian
7
72 kgGullen
12
65 kg
Weight (KG) →
Result →
76
65
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIGGINS Bradley | 76 |
| 2 | THOMAS Geraint | 71 |
| 3 | DOWSETT Alex | 75 |
| 4 | ROWE Luke | 72 |
| 7 | CHRISTIAN Mark | 72 |
| 12 | GULLEN James | 65 |