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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hunt
1
76 kgDa Cruz
2
74 kgBassons
4
74 kgHinault
5
63 kgPronk
7
73 kgMüller
9
79 kgWrolich
10
68 kg
1
76 kgDa Cruz
2
74 kgBassons
4
74 kgHinault
5
63 kgPronk
7
73 kgMüller
9
79 kgWrolich
10
68 kg
Weight (KG) →
Result →
79
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUNT Jeremy | 76 |
| 2 | DA CRUZ Carlos | 74 |
| 4 | BASSONS Christophe | 74 |
| 5 | HINAULT Sébastien | 63 |
| 7 | PRONK Matthé | 73 |
| 9 | MÜLLER Martin | 79 |
| 10 | WROLICH Peter | 68 |