2. Following data is amount of Assessed Value for an office building for a given floor area, number of office space, number of entrances, and the age of the offic building. Use excel to …. Obtain a...



2.  Following data is amount of Assessed Value for an office building for a given floor area, number of office space, number of entrances, and the age of the offic building.   Use excel to ….




  1. Obtain a Scatter plot of Floor Area as the independent and Assessed value as the dependent variable.

  2. Note the linear regression Model

  3. Predict the assessed value for 6000 sq ft.
































































































































































































































































































FloorArea (Sq.Ft.)



Offices



Entrances



Age



AssessedValue ($'000)



4790



4



2



8



1796



4720



3



2



12



1544



5940



4



2



2



2094



5720



4



2



34



1968



3660



3



2



38



1567



5000



4



2



31



1878



2990



2



1



19



949



2610



2



1



48



910



5650



4



2



42



1774



3570



2



1



4



1187



2930



3



2



15



1113



1280



2



1



31



671



4880



3



2



42



1678



1620



1



2



35



710



1820



2



1



17



678



4530



2



2



5



1585



2570



2



1



13



842



4690



2



2



45



1539



1280



1



1



45



433



4100



3



1



27



1268



3530



2



2



41



1251



3660



2



2



33



1094



1110



1



2



50



638



2670



2



2



39



999



1100



1



1



20



653



5810



4



3



17



1914



2560



2



2



24



772



2340



3



1



5



890



3690



2



2



15



1282



3580



3



2



27



1264



3610



2



1



8



1162



3960



3



2



17



1447



3960



3



2



17



1447



1280



1



1



45



433



5000



4



2



31



1878



1280



1



1



45



433



3660



3



2



38



1567



3960



3



2



17



1447



4880



3



2



42



1678




















3. Is there a statistical significance difference between the five cities in their ability to sell the three different type of autos?  How about the different in car models? (conduct an analysis of variance using excel to determine this problem. Make sure you conuct a full fledge eight step hypotheis test for both supervisors and shifts.)












































    Toyota



     Honda



        Ford



San Diego



30



31



33



Escondido



23



26



33



El Cajon



34



35



20



LA



30



24



40



SF



25



39



49




For the different car models.


3a  What will be your Ho?


3b  what is your Ha?


3c  What is your level of


3d  What is your test statistics?


3e  Why did you use the specific test statistics?


3f  What is your decision rule?


3g  Do your excel statistical print out


3h  What is your decision?


3i  What is your conclusion


3K  What is your recommendation?


For the different cities:


3a  What will be your Ho?


3b  what is your Ha?


3c  What is your level of significance?


3d  What is your test statistics?


3e  Why did you use the specific test statistics?


3f  What is your decision rule?


3g  Do your excel statistical print out


3h  What is your decision?


3i  What is your conclusion?


3K  What is your recommendation?


Jun 09, 2022
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