The American Chamber of Commerce Researchers Association compiles cost-of-living indexes for selected metropolitan areas. Shown here are cost-of-living indexes for 25 different cities on five different items for a recent year. Use the data to develop a regression model to predict the grocery cost-of-living index by the indexes of housing, utilities, transportation, and healthcare. Discuss the results, highlighting both the significant and nonsignificant predictors.
Grocery
Transpor-
City
Items
Housing
Utilities
tation
Healthcare
Albany
108.3
106.8
127.4
89.1
107.5
Albuquerque
96.3
105.2
98.8
100.9
102.1
Augusta, GA
96.2
88.8
115.6
102.3
94.0
Austin
98.0
83.9
87.7
97.4
94.9
Baltimore
106.0
114.1
108.1
112.8
111.5
Buffalo
103.1
117.3
127.6
107.8
100.8
Colorado
94.5
88.5
74.6
93.3
102.4
Springs
Dallas
105.4
98.9
108.9
110.0
Denver
91.5
97.2
105.9
114.3
Des Moines
94.3
95.1
111.4
105.7
El Paso
102.9
94.6
90.9
104.2
91.4
Indianapolis
96.0
99.7
92.1
102.7
Jacksonville
96.1
90.4
Kansas City
89.8
92.4
95.6
93.6
Knoxville
93.2
88.0
91.7
91.6
82.3
Los Angeles
103.3
211.3
75.6
128.5
Louisville
91.0
79.4
88.4
Memphis
99.1
86.2
91.1
101.1
85.5
Miami
100.3
123.0
125.6
104.3
137.8
Minneapolis
92.8
112.3
Mobile
99.9
81.1
104.9
102.8
92.2
Nashville
95.8
107.7
98.1
New Orleans
104.0
83.4
122.2
98.2
87.0
Oklahoma
103.4
97.3
97.1
Phoenix
95.7
98.7
104.6
115.2
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