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 varying size? Could those problems lead to a bad decision? Why or why not?