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 - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Andersson
1
71 kgHamburger
2
58 kgSmith
3
60 kgLafis
4
78 kgPiziks
6
70 kgAus
8
75 kgMagnusson
9
70 kgHoffman
12
80 kg
1
71 kgHamburger
2
58 kgSmith
3
60 kgLafis
4
78 kgPiziks
6
70 kgAus
8
75 kgMagnusson
9
70 kgHoffman
12
80 kg
Weight (KG) →
Result →
80
58
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDERSSON Michael | 71 |
| 2 | HAMBURGER Bo | 58 |
| 3 | SMITH Darren | 60 |
| 4 | LAFIS Michel | 78 |
| 6 | PIZIKS Arvis | 70 |
| 8 | AUS Lauri | 75 |
| 9 | MAGNUSSON Glenn | 70 |
| 12 | HOFFMAN Tristan | 80 |