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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Richeze
1
68 kgNishitani
5
62 kgAverin
6
74 kgBaliani
7
66 kgArredondo
8
58 kgSuzuki
9
60 kgShimizu
10
60 kg
1
68 kgNishitani
5
62 kgAverin
6
74 kgBaliani
7
66 kgArredondo
8
58 kgSuzuki
9
60 kgShimizu
10
60 kg
Weight (KG) →
Result →
74
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICHEZE Maximiliano | 68 |
| 5 | NISHITANI Taiji | 62 |
| 6 | AVERIN Maksym | 74 |
| 7 | BALIANI Fortunato | 66 |
| 8 | ARREDONDO Julián David | 58 |
| 9 | SUZUKI Shinri | 60 |
| 10 | SHIMIZU Miyataka | 60 |