I'm sorry but I really need help on how to perform an analysis on these data.
This dataset, in which is studied the number of calories emitted during exercise on 24 observations (subjects), consists of three variables, all quantitative: ho (heat output) is the dependent variable and is the number of calories burned during activity, wl (work level, i.e. the number of calories burned per hour) and bm (body mass in kg) are, respectively, the regressors.
What kind of univariate and bivariate exploratory analyzes should be performed?
I also tested all three variables with Shapiro's test and none of them has proven to follow a gaussian distribution (pvalue was p < 0.01).
I am attaching the dataset hoping it may prove useful.
This dataset, in which is studied the number of calories emitted during exercise on 24 observations (subjects), consists of three variables, all quantitative: ho (heat output) is the dependent variable and is the number of calories burned during activity, wl (work level, i.e. the number of calories burned per hour) and bm (body mass in kg) are, respectively, the regressors.
What kind of univariate and bivariate exploratory analyzes should be performed?
I also tested all three variables with Shapiro's test and none of them has proven to follow a gaussian distribution (pvalue was p < 0.01).
I am attaching the dataset hoping it may prove useful.
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