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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Bernas
1
77 kgBrammeier
5
72 kgSchnaidt
6
70 kgBenfatto
8
71 kgRudolph
9
69 kgWang
12
70 kgJanorschke
16
78 kg
1
77 kgBrammeier
5
72 kgSchnaidt
6
70 kgBenfatto
8
71 kgRudolph
9
69 kgWang
12
70 kgJanorschke
16
78 kg
Weight (KG) →
Result →
78
69
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERNAS Paweł | 77 |
| 5 | BRAMMEIER Matt | 72 |
| 6 | SCHNAIDT Fabian | 70 |
| 8 | BENFATTO Marco | 71 |
| 9 | RUDOLPH Malcolm | 69 |
| 12 | WANG Meiyin | 70 |
| 16 | JANORSCHKE Grischa | 78 |