Use the data in SLEEP75.RAW from Biddle and Hamermesh (1990) to study whether there is a tradeoff between the time spent sleeping per week and the time spent in paid work. We could use either variable as the dependent variable. For concreteness, estimate the model

sleep 5 b 0 1 b 1 totwrk 1 u ,

where sleep is minutes spent sleeping at night per week and totwrk is total minutes worked during the week.

Report your results in equation form along with the number of observations and

R 2 . What does the intercept in this equation mean?

If totwrk increases by 2 hours, by how much is sleep estimated to fall? Do you find this to be a large effect?

Caleb construction (cc) incurs supervisor salaries expense in the construction of homes. if cc manufactures 100 homes in a year, fixed supervisor salaries will be $400,000. with the current construction supervisors, cc's productive capacity is 150 homes in a year. however, if cc is contracts to build more than 150 homes per year, it will need to hire additional supervisors, which are hired as full-time rather than temporary employees. cc's productive capacity would then become 200 homes per year, and salaries expense would increase to $470,000. how would cc’s salaries expense be properly classified? fixed variable mixed stepped curvilinear