A number that summarizes how well a model's predictions fit the observed data is called an estimator.
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Q21: MLE stands for maximum likelihood estimation.
Q22: Marginal effects at the means and marginal
Q23: The likelihood function can take on any
Q24: Switchover points and full effects can be
Q25: Logistic regression produces a
Q27: Both OLS and logistic regression are flexible
Q28: Common logarithms are used widely in electronics
Q29: A binary variable is one that can
Q30: The maximum likelihood estimation employs the same
Q31: Dummy variables can be used with logistic
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