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Question: Exercise 13-58 A consumer buying cooperative tested the effective heating area of 20 differen…



Exercise 13-58

A consumer buying cooperative tested the effective heating area
of 20 different electric space heaters with different wattages.
Here are the results.

Heater Wattage Area
1 1,750 124
2 1,750 259
3 1,500 66
4 750 267
5 1,250 91
6 1,000 87
7 1,000 123
8 2,000 284
9 1,250 88
10 1,000 236
11 1,250 80
12 1,750 240
13 1,750 272
14 2,000 293
15 1,500 105
16 2,000 200
17 1,500 69
18 750 219
19 750 219
20 1,750 82

Question: Exercise 13-58A consumer buying cooperative tested the effective heating areaof 20 differen...Click
here for the Excel Data File

(a)

Compute the correlation between the wattage and heating area. Is
there a direct or an indirect relationship? (Negative
values should be indicated by a minus sign. Round your answer to 3
decimal places.)

  The correlation of
Wattage and Area is . The link (relationship) is (Click to
select)indirectdirect.
(b)

Conduct a test of hypothesis to determine if it is reasonable
that the coefficient is greater than zero. Use the 0.02
significance level. (Negative values should be indicated by
a minus sign. Round your answer to 3 decimal places.)

H0: ρ ≤
0;
H1: ρ >
0.
Reject H0 if
t > 2.2137
  t =   
  (Click to select)Do
not rejectReject H0. It is (Click to
select)quite reasonablenot reasonable to say the population
correlation is positive.
(c)

Develop the regression equation for effective heating based on
wattage. (Negative values should be indicated by a minus
sign. Round your answers to 3 decimal places.)

  The regression
equation is: (Click to select)WattageArea
=  +  (Click to select)WattageArea.
(d)

Which heater looks like the “best buy” based on the size of the
residual? (Round residual value to 2 decimal
places.)

  The (Click to
select)tenththirdnineteenthsixthfifteenththirteenthtwentiethninthfifthfourteentheleventhsecondseventeenthtwelftheighthfirstsixteenthseventheighteenthFourth
heater is the “best buy.” It heats an area that
is  square feet
larger than estimated by the regression equation.

  

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