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Because, say you were doing a science experiment that involved ,say, temperature, if the temperature started decreasing in a pattern it would be good to know the rule and predict how low it would be in x amount of time? This can also be applied to many situations.
They are generally agreed to be theoretical and experimental probabilities. Probability is probability. The concept may be applied to any causal event which has more than one potential outcome.
In a sample where the variable is not applied, the treatment group is still treated like other experimental groups except for the absence of the variable being studied. The treatment group should receive the same level of attention, resources, and procedures as the other groups, allowing researchers to compare the effects of the variable in question. This ensures that any observed differences can be attributed to the variable being studied rather than any disparities in treatment.
It is applied math. Math is the purest form there is. psychology is applied biology, which is applied chemistry, which is applied physics, which is applied math, which is pure PURE
The term "Logistic regression" is referring to the graph of analysis in predictions. There are variables involved and explain probabilities that are a hypothesis of the dependent variable, which is the one being applied to a future prediction.