Q1-
Salsberry Realty sells homes along the East Coast of the United States. One of the questions most frequently asked by prospective buyers is: If we purchase this home, how much can we expect to pay to heat it during the winter? The research department at Salsberry has been asked to develop some guidelines regarding heating costs for single-family homes. Three variables are thought to relate to the heating costs: (1) the mean daily outside temperature, (2) the number of inches of insulation in the attic (roof), and (3) the age in years of the furnace. To investigate, Salsberry’s research department selected a random sample of 20 recently sold homes. It determined the cost to heat each home last January, as well as the January outside temperature in the region, the number of inches of insulation in the attic, and the age of the furnace.
FACTORS IN JANUARY HEATING COST FOR A SAMPLE OF 20 HOMES
Home |
Heating Cost |
Mean Outside |
Attic Insulation |
Age of Furnace |
($) |
Temperature (°F) |
(inches) |
(Years) |
|
1 |
250 |
35 |
3 |
6 |
2 |
360 |
29 |
4 |
10 |
3 |
165 |
36 |
7 |
3 |
4 |
43 |
60 |
6 |
9 |
5 |
92 |
65 |
5 |
6 |
6 |
200 |
30 |
5 |
5 |
7 |
355 |
10 |
6 |
7 |
8 |
290 |
7 |
10 |
10 |
9 |
230 |
21 |
9 |
11 |
10 |
120 |
55 |
2 |
5 |
11 |
73 |
54 |
12 |
4 |
12 |
205 |
48 |
5 |
1 |
13 |
400 |
20 |
5 |
15 |
14 |
320 |
39 |
4 |
7 |
15 |
72 |
60 |
8 |
6 |
16 |
272 |
20 |
5 |
8 |
17 |
94 |
58 |
7 |
3 |
18 |
190 |
40 |
8 |
11 |
19 |
235 |
27 |
9 |
8 |
20 |
139 |
30 |
7 |
5 |
2. Develop an estimated regression equation that relates heating cost to age of furnace.
Sol:
Excel : Data --> Data analysis --> Regression
SUMMARY OUTPUT | ||||||
Regression Statistics | ||||||
Multiple R | 0.811508835 | |||||
R Square | 0.65854659 | |||||
Adjusted R Square | 0.639576956 | |||||
Standard Error | 63.55260676 | |||||
Observations | 20 | |||||
ANOVA | ||||||
df | SS | MS | F | Significance F | ||
Regression | 1 | 140214.9411 | 140214.9 | 34.71583 | 1.40701E-05 | |
Residual | 18 | 72700.80886 | 4038.934 | |||
Total | 19 | 212915.75 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 388.8019517 | 34.24084305 | 11.35492 | 1.22E-09 | 316.8646098 | 460.7392935 |
Mean Outside | -4.934192249 | 0.837437277 | -5.89201 | 1.41E-05 | -6.693582681 | -3.174801817 |
yhat = 318.3129-0.6116(Mean Outside
Temperature)-16.0768(Attic Insulation)
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