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 = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Bates
1
61 kgGerrans
3
62 kgRogers
5
74 kgDavis
6
60 kgDavis
8
73 kgBrown
10
76 kg
1
61 kgGerrans
3
62 kgRogers
5
74 kgDavis
6
60 kgDavis
8
73 kgBrown
10
76 kg
Weight (KG) →
Result →
76
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BATES Gene | 61 |
| 3 | GERRANS Simon | 62 |
| 5 | ROGERS Michael | 74 |
| 6 | DAVIS Scott | 60 |
| 8 | DAVIS Allan | 73 |
| 10 | BROWN Graeme Allen | 76 |