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 + 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Dean
1
72 kgReid
10
62 kgLeuchs
12
63 kgHenderson
22
75 kgBlackgrove
40
65 kgGuyton
44
74 kgWong
48
65 kg
1
72 kgReid
10
62 kgLeuchs
12
63 kgHenderson
22
75 kgBlackgrove
40
65 kgGuyton
44
74 kgWong
48
65 kg
Weight (KG) →
Result →
75
62
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEAN Julian | 72 |
| 10 | REID Robin | 62 |
| 12 | LEUCHS Kashi | 63 |
| 22 | HENDERSON Gregory | 75 |
| 40 | BLACKGROVE Heath | 65 |
| 44 | GUYTON Scott | 74 |
| 48 | WONG Kam-Po | 65 |