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Excel Assignment 3

 

  1. The data on the Sheet #1 Data includes information on Labor Hours needed to produce units on a particular production line over time. Perform a thorough regression analysis of the data.  Determine if the model is linear or nonlinear, and select an appropriate equation to model the data.  Calculate an appropriate goodness of fit test and analyze the resulting p-values.  Be prepared to interpret all values in context.  Perform a residual analysis.

 

  1. Perform a multi-stage linear regression analysis of the selling price of homes on the Sheet #2 Data. Be sure to remove any variables from the model that do not produce a significant p-value for the variable, or if, when added to the data, produce a negligible change in    Be prepared to defend the final model you chose and interpret the results in context.

 

  1. The data on Sheet #3 Data records the property taxes paid on 170 homeowners in 6 different neighborhoods. Perform an ANOVA test on the data to determine if neighborhood has an effect on the amount of tax paid.  Be sure to test all the assumptions of the hypothesis test and be prepared to defend your analysis in context.
HomeownerNeighborhoodTax Paid
13$1,138.92
22$2,268.88
33$1,712.93
43$1,716.31
53$1,599.98
64$1,941.38
76$980.24
85$2,268.14
96$1,868.73
101$1,618.15
114$1,705.31
121$1,908.44
133$1,145.30
142$2,419.79
156$1,632.89
166$1,883.85
174$1,800.83
186$1,985.80
194$1,929.04
204$1,616.92
212$1,925.38
222$2,652.80
231$2,319.15
246$1,393.23
251$2,616.94
263$1,681.42
276$952.51
281$1,636.48
292$2,648.90
301$2,441.58
313$2,078.22
326$1,298.17
332$2,868.10
344$2,084.50
356$1,653.76
365$3,288.01
371$1,848.47
383$1,662.51
393$1,449.33
403$1,447.77
412$2,414.60
423$1,309.24
433$1,519.18
441$2,047.69
453$1,686.12
464$1,755.92
476$1,781.70
486$1,353.92
491$1,818.35
501$1,904.13
512$2,816.79
523$1,838.13
532$2,866.46
541$2,117.40
554$1,960.53
565$2,322.78
576$1,366.77
584$1,653.42
594$1,667.42
603$1,567.33
614$1,544.65
625$2,922.20
636$1,574.00
643$1,541.02
654$1,528.53
666$1,177.54
676$1,723.23
686$1,705.59
696$1,468.23
706$1,081.04
711$2,136.10
726$1,671.80
736$867.18
741$2,296.04
756$1,398.27
763$985.60
775$3,168.90
786$1,067.69
796$1,230.40
805$3,775.00
816$2,025.42
826$1,279.13
833$1,459.57
846$1,456.21
851$1,900.65
866$1,367.51
876$1,554.98
883$1,536.49
892$2,428.34
906$1,825.01
911$1,596.91
924$1,951.69
934$1,694.57
944$1,970.08
951$2,265.39
963$863.23
976$1,229.90
983$1,515.65
992$2,332.28
1005$3,045.21
1016$1,190.32
1023$1,410.75
1033$1,813.82
1042$2,243.49
1056$1,280.51
1066$1,458.34
1075$3,121.92
1082$2,297.38
1093$1,538.36
1106$1,566.28
1116$1,609.09
1123$1,513.09
1134$1,673.89
1144$1,749.77
1153$1,553.90
1165$3,175.09
1172$2,514.27
1183$1,251.61
1196$1,690.06
1203$1,181.98
1213$1,175.79
1226$1,632.60
1233$1,563.36
1243$2,006.47
1255$3,000.34
1263$1,775.11
1273$1,510.54
1285$3,189.34
1292$2,396.58
1303$1,495.29
1312$2,350.90
1324$1,763.61
1336$1,094.63
1342$2,279.87
1353$1,705.94
1364$1,773.60
1374$1,830.08
1385$2,556.52
1394$1,758.91
1403$1,687.77
1415$3,056.78
1423$1,423.09
1436$2,006.56
1443$1,129.66
1454$1,808.78
1465$3,177.85
1472$2,628.84
1486$1,592.98
1492$2,309.48
1506$1,341.05
1516$1,313.94
1526$1,382.76
1536$1,786.41
1546$1,533.79
1555$2,963.82
1561$1,562.61
1572$2,420.67
1586$1,752.22
1592$2,437.49
1606$1,670.68
1611$1,730.73
1621$2,205.32
1636$937.85
1643$1,348.12
1654$1,762.19
1663$1,944.03
1674$1,759.98
1686$1,014.34
1692$2,670.30
1706$969.61

Last Updated on July 26, 2019

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