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% prediction interval to estimate the cost in February to heat a Northeast home that is 3,100 square feet.
Heating Cost ($) |
Square Footage |
Heating Cost ($) |
Square Footage |
|||||
---|---|---|---|---|---|---|---|---|
330 |
2,420 |
450 |
2,630 |
|||||
290 |
2,420 |
330 |
2,220 |
|||||
310 |
2,030 |
380 |
3,120 |
|||||
260 |
2,220 |
340 |
2,530 |
|||||
310 |
2,330 |
360 |
2,940 |
Determine the upper and lower limits of the prediction interval.
UPL=
LPL=
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