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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Newton
1
69 kgElliott
2
76 kgHegreberg
3
72 kgTanner
5
70 kgOliphant
8
66 kgKukk
10
74 kg
1
69 kgElliott
2
76 kgHegreberg
3
72 kgTanner
5
70 kgOliphant
8
66 kgKukk
10
74 kg
Weight (KG) →
Result →
76
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEWTON Christopher | 69 |
| 2 | ELLIOTT Malcolm | 76 |
| 3 | HEGREBERG Morten | 72 |
| 5 | TANNER John | 70 |
| 8 | OLIPHANT Evan | 66 |
| 10 | KUKK Sigvard | 74 |