Question

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=

Answer #1

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 thehome'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 2,600 square feet.
Heating
Square
Heating
Square
Cost ($)
Footage
Cost ($)
Footage
320
2420
460
2610
300
2430
330
2220...

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 2,200 square feet.
Heating Cost($) Square_Footage
330 2440
300 2430
310 2040
250 2210
320 2350
450 2620
340 2210...

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