exploratory analysis

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    Help! What analysis should be performed on a dataset like this?

    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...
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    Should I consider this variable continuous or discrete?

    Hi everyone. I'm working on a dataset in which there are n = 24 observation on subjects, tested for physical resistance. The goal is to evaluate the burnt calories (first variable) based on the body mass in kilos (second variable) and the work level (third variable). The column of the variable...
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    When are non-parametric tests more desireable than a scale transformation when working on non-normal data?

    When, during an exploratory analysis, should one go for a robust test instead of a logaritmic/Box-Cox transformation of a variable if the Shapiro-Wilk test to verify the normality of the distribution of said variable is significant? Also, if I transform a variable with a logaritmic or a box-cox...
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    Help: working on a dataset on logaritmic scale

    Hi, for a university project I currently have to analyze a dataset inherent to a cluster of stars, in which the two main variables are luminosity and temperature of each star. The main goal is to validate the normality hypothesis in both variables (usually I go with >qqnorm() + >qqline() +...