Study the three predictor variables below and attempt to determine whether substantial multicollinearity is present among the predictor variables If there is a problem of multicollinearity, how might it affect the outcome of the multiple regression analysis Residential Electricity (kWh) Residential Natural Gas (1000 ft 3 ) Residential Fuel Oil (gal) Leaded Regular Gasoline (gal) 2 54 1 29 21 39 3 51 1 71 31 57 4 64 2 98 44 86 5 36 3 68 61 1 19 6 20 4 29 76 1 31 6 86 5 17 68 1 22 7 18 6 06 65 1 16 7 54 6 12 69 1 13 7 79 6 12 61 1 12 7 41 5 83 34 86 7 41 5 54 42 90 7 49 4 49 33 90 (Round answers to 3 decimal places ) Correlation between natural gas and fuel oil equals Correlation between natural gas and gasoline equals Correlation between gasoline and fuel oil equals

Question: Study the three predictor variables below and attempt to determine whether substantial multicollinearity is present among the predictor variables. If there is a problem of

Study the three predictor variables below and attempt to determine whether substantial multicollinearity is present among the predictor variables. If there is a problem of multicollinearity, how might it affect the outcome of the multiple regression analysis?

Residential Electricity (kWh)	Residential Natural Gas (1000 ft³)	Residential Fuel Oil (gal)	Leaded Regular Gasoline (gal)
2.54	1.29	.21	.39
3.51	1.71	.31	.57
4.64	2.98	.44	.86
5.36	3.68	.61	1.19
6.20	4.29	.76	1.31
6.86	5.17	.68	1.22
7.18	6.06	.65	1.16
7.54	6.12	.69	1.13
7.79	6.12	.61	1.12
7.41	5.83	.34	.86
7.41	5.54	.42	.90
7.49	4.49	.33	.90

(Round answers to 3 decimal places.)

Correlation between natural gas and fuel oil equals

Correlation between natural gas and gasoline equals

Correlation between gasoline and fuel oil equals

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