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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Shimizu
1
60 kgArashiro
2
64 kgvan Bon
8
72 kgAbe
11
67 kgCrawford
12
59 kgSano
13
76 kgDoi
15
58 kgNishitani
25
62 kg
1
60 kgArashiro
2
64 kgvan Bon
8
72 kgAbe
11
67 kgCrawford
12
59 kgSano
13
76 kgDoi
15
58 kgNishitani
25
62 kg
Weight (KG) →
Result →
76
58
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHIMIZU Miyataka | 60 |
| 2 | ARASHIRO Yukiya | 64 |
| 8 | VAN BON Léon | 72 |
| 11 | ABE Yoshiyuki | 67 |
| 12 | CRAWFORD Jai | 59 |
| 13 | SANO Junya | 76 |
| 15 | DOI Yukihiro | 58 |
| 25 | NISHITANI Taiji | 62 |