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 = 3.9 * weight + 46
This means that on average for every extra kilogram weight a rider loses 3.9 positions in the result.
Danielson
1
58.5 kgChadwick
2
75 kgWong
4
65 kgBates
36
61 kgGerrans
65
62 kgReid
990
62 kgTondo
990
68 kg
1
58.5 kgChadwick
2
75 kgWong
4
65 kgBates
36
61 kgGerrans
65
62 kgReid
990
62 kgTondo
990
68 kg
Weight (KG) →
Result →
75
58.5
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DANIELSON Tom | 58.5 |
| 2 | CHADWICK Glen Alan | 75 |
| 4 | WONG Kam-Po | 65 |
| 36 | BATES Gene | 61 |
| 65 | GERRANS Simon | 62 |
| 990 | REID Robin | 62 |
| 990 | TONDO Xavier | 68 |