Can anyone answer these questions in their own words please.
1-According to the transformed model of the association
between weight and mileage, which will save
you more gas: getting rid of the 50 pounds of junk
that you leave in the trunk of your compact car or
removing the 50-pound extra seat from an SUV?
2- A company tracks the level of sales at retail outlets
weekly for 36 weeks. During the first 12 weeks, a fixed
level of advertising was used each week to draw in
customers. During the second 12 weeks, the level of
advertising changed. During the last 12 weeks, a third
level of advertising was used. What does the SRM have
to say about the average level of sales during these
three periods? (Treat sales as Y and advertising as X
and think of the data as 36 weeks of information.)
What business decision might be made as a result of this calculation?
3-Supervisors of an assembly line track the output of
the plant. One tool that they use is a simple regression
of the count of packages shipped each day versus
the number of employees who were active on the
assembly line during that day, which varies from
35 to about 50. Identify a lurking variable that might
violate one of the assumptions of the SRM.
Do you think that is the only lurking variable? Why or why not?
4-As part of locating a new factory, a company investigated
the education and income of the local population.
To keep costs low, the size of the survey of
prospective employees was proportional to the size of
the community. What possible problems for the SRM
would you expect to find in a scatterplot of average
income versus average education for communities of
Could those problems lead to a bad decision?
Why or why not?