Linear regression requires the assumptions of independence, linearity, normality, homogeneity of variance and non-multicollinearity.
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Q11: The logistic regression equation involves the exponential
Q12: A neural network is nonlinear.
Q13: A dummy variable is a continuous variable.
Q14: A single-layer perceptron neural network model consists
Q15: The confusion matrix helps you assess your
Q17: If the outcome variable is quantitative and
Q18: To avoid overfitting in the neural network
Q19: The AIC never penalizes the model for
Q20: Neural network modeling represents the response variable
Q21: In logistic regression, _ is used as
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