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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Jaramillo
1
63 kgChevrier
3
56 kgOram
4
68 kgSkujiņš
8
70 kgSmith
10
67 kg
1
63 kgChevrier
3
56 kgOram
4
68 kgSkujiņš
8
70 kgSmith
10
67 kg
Weight (KG) →
Result →
70
56
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JARAMILLO Daniel | 63 |
| 3 | CHEVRIER Clément | 56 |
| 4 | ORAM James | 68 |
| 8 | SKUJIŅŠ Toms | 70 |
| 10 | SMITH Dion | 67 |