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.
Doi
2
58 kgArashiro
3
64 kgCrawford
4
59 kgAbe
5
67 kgShimizu
7
60 kgNishitani
10
62 kg
2
58 kgArashiro
3
64 kgCrawford
4
59 kgAbe
5
67 kgShimizu
7
60 kgNishitani
10
62 kg
Weight (KG) →
Result →
67
58
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DOI Yukihiro | 58 |
| 3 | ARASHIRO Yukiya | 64 |
| 4 | CRAWFORD Jai | 59 |
| 5 | ABE Yoshiyuki | 67 |
| 7 | SHIMIZU Miyataka | 60 |
| 10 | NISHITANI Taiji | 62 |