2. There are known the following data for a company: Indicators (lei) 1 Turnover revenue 70500 83000 Average number of employee 750 880 Output 81300 90200 Analysis of the Turnover revenues.
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- The number of units that has been sold is 60 and the total revenue the firm has generated out of it is 4400 Calculate the value of average revenueA B 1 Car Sales Report Month 2 3 Jan. - April 4 May-Aug. 5 Sept. - Dec. 6 TOTAL 7 MINIMUM 214 355 186 C A D Vehicles Vehicles Vehicles TOTAL AVERAGE Sold Sold Sold 2016 2017 2018 202 240 305 E 208 299 195 F What is the cell address to calculate the minimum number of cars sold in 2017?How do I plot thw points on the graph, im a little confused with the graph that is drawn for this question Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
- 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 What is the final model if we only use FloorArea and Offices as predictors?Macmillan Learning Consider the CEO of a company that sells coffee at small free standing shops around the country. The Board of Directors is considering increasing the number of locations in an effort to increase total revenue, ceteris paribus. Use the data to determine if revenue is responsive to the number of locations. Use the midpoint method to calculate percentages. Number of locations Total revenue Calculate the percentage change in locations. 2012 3000 $60 million Calculate the percentage change in total revenue. Based on the CEO's analysis, he reports to the Board that total revenue is inelastic with respect to the number of locations. total revenue is unit elastic with respect to the number of locations. total revenue is elastic with respect to the number of locations. 2013 3750 $75 million percentage change in total revenue: percentage change in locations: % %The question under it start with personal income is the question that need to answer until the list four . The table is the info for the question
- The accompanying graph is an example of 70000 60000 50000 20000 10000 .. Firate's crime rate cross-sectional data. experimental data. a time series. longitudinal data. RWhen is the indicator (consumer confidence index) released (date of release) and how is data collected?The number of users of a certain website (in millions) from 2004 through 2011 follows. Year Period Users (Millions) 2004 1. 2005 2 2006 11 2007 4 57 2008 146 2009 6. 359 2010 7 609 2011 846 (a) Construct a time series plot. 900 900 900 - 900 - 800 800 800 - 800 - 700 700 700- 700 - 600 600 600 600 500- 400- 500 500 500- 400 400 400 - 300- 300 300- 300 - 200- 100- 200 200- 200 100- 100- 100 2 4 6. 8 10 4 6 8 10 8 10 2. 4 6 8 10 Period Period Period Period What type of pattern exists? O The time series plot exhibits a downward linear trend. O The time series plot exhibits an upward linear trend. O The time series plot exhibits a downward curvilinear trend. O The time series plot exhibits an upward curvilinear trend. (b) Using Minitab or Excel, develop a quadratic trend equation that can be used to forecast users (in millions). (Round your numerical values to one decimal place.) T = Millions of Users Millions of Users
- calculation req(c) Diberi Jadual 3 Given Table 3 Jadual 3 Table 3 Dependent Variable: GNIG Method: Least Squares Sample: 1971 2020 Included observations: 50 Variable Coefficient Std. Error t-Statistic Prob. INV -0.029738 0.143418 -0.207349 0.8367 ME -0.403906 0.830281 -0.486469 0.6290 INF 0.171334 0.194713 0.879930 0.3837 GEXP 0.133799 0.126295 1.059421 0.2952 DUMMY -2.894680 1.990087 -1.454549 0.1529 -4.133286 6.959526 -0.593903 0.5556 R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Mean dependent var S.D. dependent var 0.191174 6.031855 0.099262 3.736466 5.481783 3.546176 Akaike info criterion 553.3159 Schwarz criterion 5.711226 -131.0446 Hannan-Quinn criter. 5.569156 1.529494 2.079971 Durbin-Watson stat Prob(F-statistic) 0.085970 di mana Dummy ialah pembolehubah dummi (D=0 untuk pra-krisis 2008; D=1 untuk pasca-krisis 2008) where Dummy, is dummy variable (D=0 for pre-crisis 2008; D=1 for post-crisis 2008) Kemelesetan besar, kemelesetan ekonomi yang…Question 5. A quantitative research project is recording the hourly concentration of CO (carbon monoxide) on the air. Which category of data does this belong to? Nominal. Ordinal. Interval Ratio.