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Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship between one dependent variable and one or more independent variables.
Number of Samples. Once you have identified the scale of measurement of the dependent variable, you want to determine how many samples or groups are in the study design. Designs for which one-sample tests (e.g., Z test; t-test; Pearson and Spearman correlations; chi-square goodness-of-fit) are appropriate, collect only one set or sample of data.