The statistical software output for this problem is:
Hence,
90% prediction interval will be:
UPL = $ 397.35
LPL = $ 218.60
Suppose a government department would like to investigate the relationship between the cost of heating a...
Suppose a government department would like to investigate the relationship between the cost of heating a home during the month of February in the Northeast and the home's square footage. The accompanying data set shows a random sample of 10 homes. Construct a 90% confidence interval to estimate the average cost in February to heat a Northeast home that is 2,300 square feet. EEB Click the icon to view the data table. Determine the upper and lower limits of the...