Draw a scatter diagram with lot size of a property in square metres (m2) as the x-axis and price of a house in thousand dollars as the y-axis. Briefly describe the scatter diagram. Determine the least square regression line. Interpret the slope and the vertical intercept coefficients. Perform a hypothesis test, at the 5% significance level, to determine if there is a relationship between lot size of a property and price of a house. Provide the lower and upper limits of the 95% confidence interval for the slope. Predict the estimated house price with a lot size of a property in square metres (m2) of 550.

lot size (m2)	price ($000)
660	900
195	400
655	1406
1050	1000
352	650
661.5	1088
810	551
364	813
232.5	750
650	1188
667	1163
564	656
450	550
900	1125
363.5	430
450	713
545	1100
636	1400
316.2	799
300	650
278.7	425
499	811
407.9	750
798	981
396	713
318.5	600
456	1544
300	450
318	694
310	600
900	1125
610	913
239.8	557
345	749
1026.9	938
365	988
326.4	425
780	950
278.7	756
661.5	525
744	1325
564	656
350	556
400	644
735	625
214.5	700
430	1086
312	661
635	1106
532	813