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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
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
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
Both odds ratio and consumer choice probability should be within the range of and True or False
Typically if the predicted probability of a dependent variable is less than we classify the customer into the choice category. True or false
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