STAT

INFO240_Finalii_Sp20.xlsx

FastFood

Q1
	Burger Annual sales in Thousands	The Restaurant claims that the average annual sales for burgers is $1500K for Burgers
	2400.0	Test this claim by formulating Null and Alternate hypotheses. Assume the alpha =0.05.
	1230.0	Calculate the test statistics and critical values, etc.….
	1418.0
	1023.0
	1322.0
	540.0
	1054.0
	1709.0
	1590.0
	1139.0
	1641.2
	830.4
	1300.0
	1925.0
	1036.0

Q2
Burger Sales (000)	Chicken Sales (ooo)	Test the claim that the mean sales of burgers and chicken sandwiches are not equal.
2400.0	933.0	Formulate the null and alternate hypotheses.
1230.0	2694.4
1418.0	1053.0
1023.0	695.0
1322.0	1548.0
540.0	1573.3
1054.0	1400.0
1709.0	1015.0
1590.0
1139.0
1641.2
830.4
1300.0
1925.0
1036.0

Q3
Burger	Chicken	Sandwich	Pizza/Pasta		Using ANOVA, test if the four mean sales are equal.
2400.0	933.0	452.0	855.0	Write the null and alternate hypotheses, etc.
1230.0	2694.4	2200.0	657.0
1418.0	1053.0	838.0	863.0
1023.0	695.0	420.0	460.0
1322.0	1548.0	753.0	538.5
540.0	1573.3	2226.6	908.0
1054.0	1400.0	988.0	623.0
1709.0	1015.0
1590.0
1139.0
1641.2
830.4
1300.0
1925.0
1036.0

Q4
		This sample data was collected to study the relationship between the rent charged with the size of a dwelling.
Size (Square feet)	Rent ($)
655	1975
663	1581	A.	Identify the dependent variable and independent variable. Do they have a cause and effect relationship? Explain.
718	1429
665	1350
715	1633
903	1807	B.	Run Regression on this data. Make sure to check the boxes for charts, normal distribution, residual charts, etc.
708	1632
785	1528
955	1800
525	1206	C	Write the null and alternate hypotheses to test if the linear relationship (slope) is significant or not.
630	1421
731	1870
694	1858	D	Conduct F test to determine if you are going to accept or reject the nul hypothesis. You can use p-value test also.
685	1782
675	1750
750	1440	E.	Write down the regression model (Linear equation) that the regression program output.
610	1212
531	1176
750	1270
675	1503
725	1595
820	1795
660	998
535	1080
628	1337
434	1075
775	1574
707	1556
702	1300
872	1400
578	1200
470	1450
770	1590
784	1525
872	1575
675	1478
768	1450
797	1750
600	1150
660	1850
925	1650
650	1275
550	1100
665	1398
916	1600
850	1350
750	1550
900	1300
690	1600
574	1300
800	1500
775	1400
873	1650
814	1575
739	1600
820	1425
665	1270

Q5	A. Write down the four assumptions that are made in conducting a regression analysis.
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	B. Determine which of these assumptions are met by looking at the charts (linear and residual, probability) and explain…
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	C. what will be the predicted value of the rent for a dwelling of 600 square foot?
	D. If the actual rent for a dwelling of 600 square foot is $1200, would you consider that a good deal or bad?