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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Dowsett
1
75 kgGullen
2
65 kgTennant
9
82 kgPorter
19
73 kgColman
22
73 kg
1
75 kgGullen
2
65 kgTennant
9
82 kgPorter
19
73 kgColman
22
73 kg
Weight (KG) →
Result →
82
65
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOWSETT Alex | 75 |
| 2 | GULLEN James | 65 |
| 9 | TENNANT Andrew | 82 |
| 19 | PORTER Elliott | 73 |
| 22 | COLMAN Alex | 73 |