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 - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Canuel
2
51 kgThomas
4
58 kgNewsom
8
59 kgBanks
9
62 kgBlais
10
53 kgBergen
11
64 kgPoidevin
16
56 kg
2
51 kgThomas
4
58 kgNewsom
8
59 kgBanks
9
62 kgBlais
10
53 kgBergen
11
64 kgPoidevin
16
56 kg
Weight (KG) →
Result →
64
51
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CANUEL Karol-Ann | 51 |
| 4 | THOMAS Leah | 58 |
| 8 | NEWSOM Emily | 59 |
| 9 | BANKS Elizabeth | 62 |
| 10 | BLAIS Marie-Soleil | 53 |
| 11 | BERGEN Sara | 64 |
| 16 | POIDEVIN Sara | 56 |