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 gasoline equals