The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. Month Actual Demand (millions) 7th Edition 20 8th Edition 30 9th Edition 30 10th Edition 32
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- A company that supplies gasoline to a city has recorded the weeklyusage (tons/week) for the past 3 years. The file BA2854GasolineRecord.xlsxcontains this record.(a) Propose a method for predicting the demand for gasoline. Use thatmethod to forecast demand for next year (weeks 157 to 208).(b) Improve your prediction in part (a) by including a statement about demand variability. (Hint: Look at or the range of the data.) week demand (tons) 1 1174.5 2 1316.2 3 1197 4 1127.3 5 1193.1 6 1260.7 7 1378.2 8 1273.7 9 1366.4 10 1113 11 1177.7 12 1056 13 1291.2 14 1269.1 15 1289.6 16 1181 17 1249 18 1212 19 1286.2 20 1204.8 21 1266.2 22 1332.4 23 1236.3 24 1266.1 25 1415.3 26 1100.1 27 1208.1 28 1505.1 29 1282.7 30 1190.5 31 1152.8 32 1089.7 33 1404.7 34 1308.6 35 1255.4 36 1106.7 37 1484.6 38 1317.4 39 1294.7 40 1154 41 1449.9 42 1174.9 43 1466.9 44 1282.4 45 1228 46 1174 47 1196.2 48 1443.8 49…Suppose a researcher wants to see if the proportion of college educated adults is higher in New York compared to Florida. The researcher randomly samples 500 adults in New York and found that 196 had a college education, while a random sample of 600 adults in Florida found that 227 had a college education.At the 0.05 level of significance, does the data provide evidence to suggest the proportion of college educated adults is higher in New York than Florida? Step 1: Define the parameter & setup the testStep 2: State the Level of SignificanceStep 3: Find the value of the Test StatisticsStep 4: Find P-Value OR Find Critical ValueStep 5: State Conclusion and whyThe average lifespan of a Ghanaian is 57years. The averagelifespan of males in Ghana is known to be 55 years while theaverage lifespan of females in Ghana is known to be 60 years. Theaverage lifespan of people from the Northern region of Ghana isknown to be 58 years while the average lifespan of people in theEast region of Ghana is known to be 54 years.Use the above information to answer the following questions:(i). With your reasons, discuss all possible population parametersfrom the above information.(ii). With your reasons, discuss all possible sample statistics fromthe above information.
- The average lifespan of a Ghanaian is 57years. The average lifespan of males in Ghana is known to be 55 years while the average lifespan of females in Ghana is known to be 60 years. The average lifespan of people from the Northern region of Ghana is known to be 58 years while the average lifespan of people in the East region of Ghana is known to be 54 years. Use the above information to answer the following questions: (i).With your reasons, discuss all possible population parameters from the above information. (ii).With your reasons, discuss all possible sample statistics from the above information. (iii) Compare and contrast the average lifespan of males and females. Which group average is more likely to represent the corresponding population parameter? Give reasons for your answer.The data in the table characterizes the income distribution for a country. Income category Share of income (%) Cumulative share of income (%) first quintile 7.0 --- second quintile 9.0 16.0 third quintile --- 37.0 fourth quintile 25.0 --- fifth quintile 38.038.0 --- What percentage of the total population is categorized as belonging to the second quintile? Give your responses as whole numbers. Percentage of population in second quintile:__________% What percentage of the total income for the country is earned by the third quintile? Percentage earned by the third quintile:__________% What is the cumulative share of income earned by the poorest 80% of the population? Percentage earned by the poorest 80%:__________%A shoe wholesaler wants to optimize its shipment of shoes to its client retailers. To minimize their turnover time and avoid building up stocks that add costs, the wholesaler wants to know if weather conditions are important in determining the type of shoe demanded. Specifically, she / he would like to know if high temperatures affect the sale of closed, rubber-heeled walking shoes. He / she has the relevant data showing the temperature recorded at the location of its retail shops, as well as their record of sales of these walking shoes, during each day of the past year. What type of analysis should he / she conduct? What variables should be considered? Explain.
- Intergarated products Need to estimate its pc sales for the nextnext year. the most recent six years of revenue data for the companys line of xt personal computers and those of the industry, is found in the table below; Year XT PC Sales (000,000) All Industry PC Sales Revenue 1 2.4 4.6 2 5.9 8.6 3 15.5 10.7 4 27.8 14.8 5 35.9 18.5 6 38.1 19.4 a) Assuming that the sales data above are representative of sales expected next year , use time series regression analysis to forecast next years sales b) determine the correlation correlation for he ime forecast and interpret is meaning c) find the coefficient of determination for the time series forecast and intpret it s meaning d) perform a regression analysis between the annual sales revenues of XT Personal computers and all personal computers if the estimate of next years industry PC sales revenues is $21.9 billion? e) which independent variable should intergrated products coporation IPC choose for its forcasting of sales…The accompanying dataset provides data on monthly unemployment rates for a certain region over four years. Compare 3- and 12-month moving average forecasts using the MAD criterion. Which of the two models yields better results? Explain. LOADING... Click the icon to view the unemployment rate data. Question content area bottom Part 1 Find the MAD for the 3-month moving average forecast. MAD=enter your response here (Type an integer or decimal rounded to three decimal places as needed.) Year Month Rate(%)2014 Jan 7.72014 Feb 8.22014 Mar 8.92014 Apr 9.22014 May 9.52014 Jun 9.52014 Jul 9.52014 Aug 9.72014 Sep 9.92014 Oct 9.82014 Nov 9.72014 Dec 9.92015 Jan 9.72015 Feb 9.82015 Mar 9.72015 Apr 9.92015 May 9.52015 Jun 9.52015 Jul 9.42015 Aug 9.62015 Sep 9.72015 Oct 9.52015 Nov 9.92015 Dec 9.32016 Jan 9.12016…The forecast for year 6 using a weighted 2-year moving average with weights of 0.350.35 and 0.650.65 (the weight of 0.650.65 is for the most recent period) is what?
