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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Manning
1
76 kgNewton
2
69 kgPower
5
68 kgMcLeod
6
66 kgTanner
7
70 kgWinn
10
70 kg
1
76 kgNewton
2
69 kgPower
5
68 kgMcLeod
6
66 kgTanner
7
70 kgWinn
10
70 kg
Weight (KG) →
Result →
76
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANNING Paul | 76 |
| 2 | NEWTON Christopher | 69 |
| 5 | POWER Ciarán | 68 |
| 6 | MCLEOD Ian | 66 |
| 7 | TANNER John | 70 |
| 10 | WINN Julian | 70 |