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 + 73
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Rosiers
1
78 kgSteevens
4
73 kgDucreux
9
65 kgMortensen
16
70 kgJansen
17
70 kg
1
78 kgSteevens
4
73 kgDucreux
9
65 kgMortensen
16
70 kgJansen
17
70 kg
Weight (KG) →
Result →
78
65
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSIERS Roger | 78 |
| 4 | STEEVENS Harry | 73 |
| 9 | DUCREUX Daniel | 65 |
| 16 | MORTENSEN Leif | 70 |
| 17 | JANSEN Harrie | 70 |