Example data to demonstrate measurement error concept. Data consists of 20 athletes with their True Score (TS) bodyweight (kg) and five Observation Scores (OS) measured over 5 occasions using measuring scale with fixed bias, proportional bias, and random error. The mathematical notation is the following: $$OS = Fixed\; Bias + (Proportional \; Bias\times TS) + \epsilon$$ The following relationship between TS and OS is used in this data sample: $$OS = 1 + (1.01 \times TS) + \mathcal{N}(0,\, 0.5)$$
data(weight_data)
A data frame with 20 rows and 7 variables:
Name of the athlete
True score
Observed score 1
Observed score 2
Observed score 3
Observed score 4
Observed score 5
True Score has the \code{mean} of 75kg and \code{sd} of 10