Where WAGE is hourly wage EDU is years of education EXPER is years of relevant

# Where wage is hourly wage edu is years of education

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Where WAGE is hourly wage, EDU is years of education, EXPER is years of relevant experience, andMALE indicates the employee is male. What hypothesis would you test to determine if thediscrimination claim is valid?a.) H0:βMALE= 0; H1:βMALE≥ 0b.) H0:βMALE=βEDU=βEXPER= 0 ; H1:βMALE≠ 0 andβEDU≠ 0 andβEXPER≠ 0c.) H0:βMALE=βEDU=βEXPER= 0 ; H1:βMALE≠ 0 orβEDU≠ 0 orβEXPER≠ 0d.) H0:βMALEβEDUorβMALEβEXPER;H1:βMALE>βEDUorβMALE>βEXPERAns: aSection: 7.3[highlighted term should have a “hat” over]7. When you have a multiple regression model with a binary dependent variable it is a __________.a.) dichotomous modelb.) Bernoulli modelc.) Linear Probability modeld.) prediction modelAns: cSection: 7.4
8. The following economic model predicts whether a voter will vote for an incumbent school boardmemberINCUMBENT=β1+β2MALE+β3PARTY+β4MARRIED+β5KIDSwhereINCUMBENT= 1 if the voter votes for them, 0 otherwise,MALE= 1 if the voter is a male,PARTYindicates the voter is registered with the same political party as the incumbent,MARRIED= 1 for married voters, 0 otherwise, andKIDSis the number of school age kids living with the voter.What is the probability that a married female without kids who is not registered with a politicalparty will vote for the incumbent?9. The following economic model predicts whether a voter will vote for an incumbent school boardmemberINCUMBENT=β1+β2MALE+β3PARTY+β4MARRIED+β5KIDSwhereINCUMBENT= 1 if the voter votes for them, 0 otherwise,MALE= 1 if the voter is a male,PARTYindicates the voter is registered with the same political party as the incumbent,MARRIED= 1 for married voters, 0 otherwise, andKIDSis the number of school age kids living in the voter’s house.How should we interpretβ4?

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