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 = 0.5 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Christensen
1
63 kgO'Connor
3
67 kgWilliams
6
59 kgOram
7
68 kgLampier
10
68 kgVink
11
73 kgSmith
12
67 kg
1
63 kgO'Connor
3
67 kgWilliams
6
59 kgOram
7
68 kgLampier
10
68 kgVink
11
73 kgSmith
12
67 kg
Weight (KG) →
Result →
73
59
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHRISTENSEN Ryan | 63 |
| 3 | O'CONNOR Ben | 67 |
| 6 | WILLIAMS Stephen | 59 |
| 7 | ORAM James | 68 |
| 10 | LAMPIER Steven | 68 |
| 11 | VINK Michael | 73 |
| 12 | SMITH Dion | 67 |