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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Fritsch
1
65 kgTurgot
2
73 kgTanner
3
70 kgJørgensen
4
60 kgAckermann
6
62 kgPliușchin
7
66 kg
1
65 kgTurgot
2
73 kgTanner
3
70 kgJørgensen
4
60 kgAckermann
6
62 kgPliușchin
7
66 kg
Weight (KG) →
Result →
73
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRITSCH Nicolas | 65 |
| 2 | TURGOT Sébastien | 73 |
| 3 | TANNER David | 70 |
| 4 | JØRGENSEN René | 60 |
| 6 | ACKERMANN Silvère | 62 |
| 7 | PLIUȘCHIN Alexandr | 66 |