Question

1. Find the SSE for the given data and linear models, and indicate which model gives the better fit.

(2,4) (6,8) (8,12) (10,0)

1. Y = - 0.1 x + 7                        SSE = ________
2. Y = - 0.2 x + 6                        SSE = ________
3. The better fit is          Y = __________________

2. The following table shows the average price of a two-bedroom apartment in downtown New York City from 1994 to 2004 (x=0 represents 1994)

Year x	0	2	4	6	8	10
Price (millions)	0.38	0.40	0.60	0.95	1.2	1.6

find:

x = ______              y = ______             xysum of = ______          

x2 = ______            y2 = _______       

Regression line: ___________________________

Correlation Coefficient (2 decimal places): ____________

Using the regression line, what would be the price for 2007? ________

Answer 1