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 = -0.7 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Mortensen
2
70 kgRosiers
4
78 kgBracke
7
79 kgSteevens
10
73 kgTschan
12
68 kgJansen
19
70 kgSchleck
28
72 kg
2
70 kgRosiers
4
78 kgBracke
7
79 kgSteevens
10
73 kgTschan
12
68 kgJansen
19
70 kgSchleck
28
72 kg
Weight (KG) →
Result →
79
68
2
28
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MORTENSEN Leif | 70 |
| 4 | ROSIERS Roger | 78 |
| 7 | BRACKE Ferdinand | 79 |
| 10 | STEEVENS Harry | 73 |
| 12 | TSCHAN Jürgen | 68 |
| 19 | JANSEN Harrie | 70 |
| 28 | SCHLECK Johny | 72 |