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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Verboom
4
84 kgBekaert
5
62 kgKamp
9
70 kgBlummel
11
76 kgRobinson
14
74 kgRaugel
17
70 kg
4
84 kgBekaert
5
62 kgKamp
9
70 kgBlummel
11
76 kgRobinson
14
74 kgRaugel
17
70 kg
Weight (KG) →
Result →
84
62
4
17
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VERBOOM Minne | 84 |
| 5 | BEKAERT Yentl | 62 |
| 9 | KAMP Ryan | 70 |
| 11 | BLUMMEL Robin | 76 |
| 14 | ROBINSON Oliver | 74 |
| 17 | RAUGEL Antoine | 70 |