The MLR model to use is Simultaneous as this is described as the easiest, unless there is one easier for you. In this I need the following assumptions checked off on the data set.
Multicollineriaty (coefficients table)
Outliers (residuals table)
Homoscedasticity (of the residual error) (residuals scatterplot)
Normality (of the residual error) (residuals histogram)
These are the predictors I have decided for the data set.
Does caffeine intake improve response time for people that have slept less than 7 hours in the last 24 hours?
Can I predict response time from sleep time and caffeine intake?
Does longer sleep time improve response time?
Does caffeine intake improve response time for people that have slept less than 7 hours in the last 24 hours?
