An accountant wishes to undertake a cost analysis of electricity consumption of office heating for various maximum daily temperatures. He recorded the data over a period of 8 random days, as shown below:

	1	2	3	4	5	6	7	8
Temp(C)	26	31	25	26	14	20	16	34
Max Electricity Consumption	35	20	37	24	42	41	40	17

You may use the following Excel print-outs or summary statistics provided to answer the questions.

SUMMARY OUTPUT			SUMMARY STATISTICS
Regression Statistics		n =	8
Multiple R	0.895		=	24
R Square	0.801		=	32
Adjusted R Square	0.768		s2x =	48.29
Standard Error	4.862		s2y =	101.71
Observations	8		sxy =	-62.7143
	Coefficients	Standard Error	t Stat	P-value
Intercept	63.172	6.575	9.607	0.000
temp(C)	-1.299	0.264	-4.911	0.003

(i) Find the least squares regression line to predict the electricity consumption from the maximum temperature.

(ii) Predict the electricity consumption of the office when the maximum temperature is 30C. How confident are you in this prediction?