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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Koerts
1
78 kgSchulze
2
70 kgBecke
4
75 kgMarkov
6
80 kgPoitschke
7
73 kg
1
78 kgSchulze
2
70 kgBecke
4
75 kgMarkov
6
80 kgPoitschke
7
73 kg
Weight (KG) →
Result →
80
70
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOERTS Jans | 78 |
| 2 | SCHULZE André | 70 |
| 4 | BECKE Daniel | 75 |
| 6 | MARKOV Alexei | 80 |
| 7 | POITSCHKE Enrico | 73 |