The American Chamber of Commerce Researchers Association compiles cost-of-living indexes for selected metropolitan areas. Shown here (in the dataset posted on Canvas under Week 9 folder) 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 Items	Housing	Utilities	Transportation	Healthcare
108.3	106.8	127.4	89.1	107.5
96.3	105.2	98.8	100.9	102.1
96.2	88.8	115.6	102.3	94.0
98.0	83.9	87.7	97.4	94.9
106.0	114.1	108.1	112.8	111.5
103.1	117.3	127.6	107.8	100.8
94.5	88.5	74.6	93.3	102.4
105.4	98.9	108.9	110.0	106.8
91.5	108.3	97.2	105.9	114.3
94.3	95.1	111.4	105.7	96.2
102.9	94.6	90.9	104.2	91.4
96.0	99.7	92.1	102.7	97.4
96.1	90.4	96.0	106.0	96.1
89.8	92.4	96.3	95.6	93.6
93.2	88.0	91.7	91.6	82.3
103.3	211.3	75.6	102.1	128.5
94.6	91.0	79.4	102.4	88.4
99.1	86.2	91.1	101.1	85.5
100.3	123.0	125.6	104.3	137.8
92.8	112.3	105.2	106.0	107.5
99.9	81.1	104.9	102.8	92.2
95.8	107.7	91.6	98.1	90.9
104.0	83.4	122.2	98.2	87.0
98.2	79.4	103.4	97.3	97.1
95.7	98.7	96.3	104.6	115.2