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MCD2080 – Extra Exercise
创建日期：2024-05-08 16:44:08
标签： MCD2080
Extra Exercise

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MCD2080 Week 11 Extra Exercise Page 1 of 4


MCD2080 – Extra Exercise Week 11

General Instructions
• The exercise is a take home assessment (open book) and must be completed at the specified
period.
• This test is worth 2% of the trimester’s assessment.
• Use Excel and teaching material to do the exercise.
• There is one questions.
• Write answers in the spaces provided in this booklet or plain paper and upload answers on Moodle
link provided.
• Answer all questions.

Hints
• If a question asks you to explain your answer, most (if not all) of the marks will be awarded for the
explanation of how the answer was obtained.
• Marks are awarded according to the quality of your answers, not for the amount written.



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Question 1 TOTAL
Out of 24.5 24.5
Mark


MCD2080 Week 11 Extra Exercise Page 2 of 4
Exercise about multiple linear regression application: Use “Electricity Production.xlsx” data
The Data is about Australian production of electricity from Quarter 1 2010 to Quarter 3 2018. The
data contains quarterly electricity production in million KWH (m.KWH).
Use the data to answer the following questions.
Question 1 [1 + 2 + 1 + 2.5 + 2 + 3 + 1.5 + 3.5 + 4 + 4 = 24.5 marks]
a) (i). Use Excel to construct a line graph of the electricity production over time.
Exhibit 1: < upload the table on Moodle >
(ii). State and discuss any three of the time series components that is obvious in the data shown
in Exhibit 1.

b) (i). Using Excel, estimate a model of a linear trend and quarterly seasonal dummies. Use
quarter 4 as the base quarter.
To do that we need to define the following variables:
Y variable:
• elect_prod: = Australian quarterly production of electricity (million KWH).
X variables:
• Time: number of quarters since Q1 2010 to Q3 2018.
• Qrtr1: = 1 if the quarter is from January to March and 0 otherwise.
• Qrtr2: = 1 if the quarter is from April to June and 0 otherwise.
• Qrtr3: = 1 if the quarter is from July to September and 0 otherwise.
• Qrtr4: = 1 if the quarter is from October to December and 0 otherwise.
Exhibit 2: < upload the table on Moodle >
(ii) State and interpret the coefficient of the intercept.

(iii) State and interpret the coefficient of time.

MCD2080 Week 11 Extra Exercise Page 3 of 4
(iv) State and interpret the estimated coefficient for the months of January to March.

(v) From the above estimated model (Exhibit 2), state the quarter with the second highest
Electricity production.
Interpret this value.

(vi) Carry out a hypothesis test to determine if the electricity production of the months of July
to September is different to that in the electricity production of the months of October to
December.
Use a 1% level of significance and show all the steps.


(vii) Using the model in Exhibit 2, predict the Australia electricity production for Quarter 1 in
2019.
To do so:
• First, write down the value for the “Time” variable. [Hint: Time = 1 in Qtr1 2010]
• Second, write down the value for each of the Quarterly dummy variables for Quarter
1 2019.
• Third, write down the equation substituting these quarterly dummy values in the
model (equation) to predict the electricity production for Quarter 1 2019.

(viii) Lastly, we need to evaluate the accuracy of the above prediction, in part (v). The
electricity production over the period between quarter 1 2010 to quarter 3 2018 is
12,421.62 m.KWH.
With that in mind, discuss any two ways we can evaluate this model.
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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 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