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1 ) if we are interested in identifying factors contrubuting contributing email recipients' decision to respond to an email invitation, both multiple linear regression and

1) if we are interested in identifying factors contrubuting contributing email recipients' decision to respond to an email invitation, both multiple linear regression and logistic regression can yeild similar insights. True or False
2) As part of the logistic regression, the equation for consumer utility is just like a multiple regression model. It is a linear function. True or False
3)Both odds ratio and consumer choice probability should be within the range of 0 and 1. True or False
4)Typically if the predicted probability of a dependent variable is less than 0.5 we classify the customer into the choice=0 category. True or false

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