Demonstrate some Quantitative Analysis In this case, I will analyze this dataset by making use of binary logistic regression in evaluating the impact of all the independent variables (age, highest education level, weight, height, general health, alcohol drinks per day, caffeine drinks per day, physical fitness, current weight, hours sleep/weekends, how many hours sleep needed) on the dependent variable (problem with sleep), because my outcomes are binary/dichotomous, and binary logistics only assumes two possible outcomes i.e YES or NO. Binary logistic regression try to predict whether someone has a problem with sleep (score = 1) or someone do not have a problem with sleep (score = 0). Some assumptions need to be met in logistic regression analysis. · In logistic regression a linear relationship between dependent and independent variables is not required. · Homoscedasticity of variance, linearity, and interval ...
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