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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Wong
2
65 kgFukushima
6
62 kgMcCann
7
73 kgKlostergaard
8
69 kgPark
9
73 kgMiyazawa
12
61 kgReihs
13
75 kgChan
22
70 kg
2
65 kgFukushima
6
62 kgMcCann
7
73 kgKlostergaard
8
69 kgPark
9
73 kgMiyazawa
12
61 kgReihs
13
75 kgChan
22
70 kg
Weight (KG) →
Result →
75
61
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WONG Kam-Po | 65 |
| 6 | FUKUSHIMA Shinichi | 62 |
| 7 | MCCANN David | 73 |
| 8 | KLOSTERGAARD Kasper | 69 |
| 9 | PARK Sung Baek | 73 |
| 12 | MIYAZAWA Takashi | 61 |
| 13 | REIHS Michael | 75 |
| 22 | CHAN Chun Hing | 70 |