Questions
The following data set provides information on acres harvested and planted by year and value in...

The following data set provides information on acres harvested and planted by year and value in the US. Year ASPARAGUS - ACRES HARVESTED ASPARAGUS - ACRES PLANTED 2015 21,700 23,500 2014 23,800 25,800 2013 24,500 26,800 2012 25,300 27,800 2011 26,800 28,400 2010 28,000 29,200 2009 29,200 30,700 2008 32,200 33,700 2007 38,600 40,900 2006 43,200 44,700 2005 49,300 51,700 2004 61,500 66,000 2003 58,000 62,000 2002 66,000 70,500 2001 70,150 75,150 2000 77,400 82,800 1999 75,890 79,590 1998 74,430 From the data set, use the planting data for the United States for recent years. Using a calculator or statistical software, find the equation for the linear regression line for 2010 to 2015. What is the y-intercept?

In: Statistics and Probability

Determine if the data on petroleum imports provided in Assignment 1 follows a normal distribution. Year...

Determine if the data on petroleum imports provided in Assignment 1 follows a normal distribution.

Year Petroleum Imports (thousands of barrels per day)
1973 6256
1974 6112
1975 6055
1976 7313
1977 8807
1978 8363
1979 8456
1980 6909
1981 5996
1982 5113
1983 5051
1984 5437
1985 5067
1986 6224
1987 6678
1988 7402
1989 8061
1990 8018
1991 7627
1992 7888
1993 8620
1994 8996
1995 8835
1996 9478
1997 10162
1998 10708
1999 10852
2000 11459
2001 11871
2002 11530
2003 12264
2004 13145
2005 13714
2006 13707
2007 13468
2008 12915

In: Statistics and Probability

2. The accompanying data table show the percentage of tax returns filed electronically in a city...

2. The accompanying data table show the percentage of tax returns filed electronically in a city from 2000 to 2009. Complete the parts below.

Year   Percentage
2000   27
2001   29
2002   35
2003   42
2004   45
2005   49
2006   55
2007   59
2008   61
2009   67

​a)

Forecast the percentage of tax returns that will be electronically filed for 2010 using exponential smoothing with a=0.2 (Round to the nearest integer as​ needed.)

​b) Calculate the MAD for the forecast in part a. ​(Round to two decimal places as​ needed.)

​c)

The percentage of tax returns that will be electronically filed for 2010 using exponential smoothing with trend adjustment using a=0.3 and b=0.6 is? ​(Round to the nearest integer as​ needed.)

​d) Calculate the MAD for the forecast in part c (Round to two decimal places as​ needed.)

In: Statistics and Probability

Please show all steps using data set below and excel. By using a bivariate regression trend...

Please show all steps using data set below and excel.

  • By using a bivariate regression trend line model, forecast total houses sold for the next five years.
  • Prepare a time series plot of these data (years are on the x axis, THS is on the y axis) that shows both actual and forecast THS for the next five years.

Total Houses Sold

Year Northeast
1996         74.00
1997         78.00
1998         81.00
1999         76.00
2000         71.00
2001         66.00
2002         65.00
2003         79.00
2004         83.00
2005         81.00
2006         63.00
2007         65.00
2008         35.00
2009         31.00
2010         31.00
2011         21.00
2012         29.00
2013         31.00
2014         28.00
2015         24.00
2016         32.00

In: Statistics and Probability

Despite the growth in digital entertainment, the nation’s 400 amusement parks have managed to hold on...

Despite the growth in digital entertainment, the nation’s 400 amusement parks have managed to hold on to visitors. A manager collects data on the number of visitors (in millions) to amusement parks in the United States. A portion of the data is shown in the accompanying table.

Year Visitors
2000 329
2001 319
2007 333

SOURCE: International Association of Amusement Parks and Attractions.
Click here for the Excel Data File

Year Visitors
2000 329
2001 319
2002 308
2003 302
2004 308
2005 319
2006 357
2007 333

a. Estimate the linear trend model to make forecasts for 2008. (Round your answers to 2 decimal places.)

=

b. Estimate the exponential trend model to make forecasts for 2008. (Round your answers to 2 decimal places.)

=

In: Statistics and Probability

Consider the following realized annual returns: Year End Market Realized Return Stock B Realized Return 2000...

Consider the following realized annual returns:

Year End

Market Realized Return

Stock B

Realized Return

2000

21.2%

88.3%

2001

30.3%

56.4%

2002

22.3%

114.6%

2003

25.3%

68.4%

2004

-11.0%

-62.8%

  1. 2005

    -11.3%

    52.7%

    2006

    -20.8%

    -22.0%

    2007

    33.1%

    6.9%

    2008

    13.0%

    9.2%

    2009

    7.3%

    -0.9%

  2. Consider the following realized annual returns:








  3. Q1 : Suppose that you want to use the 10 year historical average return on the Market to forecast the expected future return on the Market. Calculate the 95% confidence interval for your estimate of the expect return. Q2 : Using the data provided in the table, calculate the average annual return, the variance of the annual returns, and the standard deviation of the average returns for Stock B from 2000 to 2009.

In: Finance

I don't really understand how to estimate revenue. I have been given revenues from previous years...

I don't really understand how to estimate revenue. I have been given revenues from previous years and I am being asked to estimate the revenue for FY2020 and explain my rationale. Please help thank you! Please show all relevant work so I can understand how you got to the answer. Thank you!

PS: if possible please use regression including a graph.

Year Revenue Collections
2002 $                      329,687
2003 $                      384,829
2004 $                      378,109
2005 $                      447,858
2006 $                      523,845
2007 $                      621,253
2008 $                      824,460
2009 $                      739,140
2010 $                      821,729
2011 $                  1,035,700
2012 $                      901,902
2013 $                      867,344
2014 $                      857,415
2015 $                      885,966
2016 $                      963,744
2017 $                  1,141,337
2018 $                  1,201,877
2019 $                  1,116,045
2020

In: Finance

A program at SF State is concerned about their graduation rates. Every year they enroll 400...

A program at SF State is concerned about their graduation rates. Every year they enroll 400 junior-level students, and they’ve been tracking the percent who manage to finish (graduate from) the program in a timely manner. Below are the data for the past 8 years. Express all calculations to 3 significant figures: ie. 12.3% or 0.123 (also 3-decimal spaces).

year

2000

2001

2002

2003

2004

2005

2006

2007

ontime grads

230

215

250

225

245

220

235

205

  • Calculate the proportion of the class that graduates each year.
  • What kind of control chart should be used in this situation? pChart Justify Why.
  • Compute the 3 sigma control limits

Are we in control, give the control

In: Operations Management

George and June are active volunteers in their local church. George serves as an usher one...

George and June are active volunteers in their local church. George serves as an usher one Sunday morning a month. June sings in the church choir every Sunday morning and attends choir practice each Wednesday evening. Based on the distance from their home to church, June drives 500 miles a year to attend choir practice and sing on Sunday. George leaves home by himself to arrive at church early on the mornings he serves as an usher and put 120 miles on his car this year on these trips. June paid $1,000 for singing lessons to improve her voice so that she might be chosen to sing a solo at church. Are any of these expenses related to serving as an usher or singing in the church choir deductible by George or June?

In: Accounting

please asnwer all parts of question 5 Date Yearmonth SP500 WMT MSFT MGM CERN XOM 12/3/2012...

please asnwer all parts of question 5

Date Yearmonth SP500 WMT MSFT MGM CERN XOM
12/3/2012 201212 1426.19 65.33 25.39 11.64 38.76 82.52
11/1/2012 201211 1416.18 68.58 25.31 10.15 38.61 84.03
10/1/2012 201210 1412.16 71.43 26.91 10.31 38.1 86.38
9/4/2012 201209 1440.67 70.27 28.06 10.75 38.69 86.65
8/1/2012 201208 1406.58 69.13 29.06 9.86 36.57 82.72
7/2/2012 201207 1379.32 70.49 27.61 9.52 36.96 81.76
6/1/2012 201206 1362.16 66.03 28.66 11.16 41.33 80.55
5/1/2012 201205 1310.33 62.34 27.34 10.83 38.98 74.02
4/2/2012 201204 1397.91 55.42 29.8 13.42 40.56 80.72
3/1/2012 201203 1408.47 57.57 30.02 13.62 38.08 81.09
2/1/2012 201202 1365.68 55.21 29.54 13.77 36.92 80.87
1/3/2012 201201 1312.41 57.34 27.3 13.05 30.44 77.86
12/1/2011 201112 1257.6 55.84 24 10.43 30.62 78.81
11/1/2011 201111 1246.96 54.7 23.65 10.29 30.49 74.8
10/3/2011 201110 1253.3 52.67 24.44 11.52 31.72 72.18
9/1/2011 201109 1131.42 48.2 22.84 9.29 34.26 67.13
8/1/2011 201108 1218.89 49.39 24.41 11.07 32.98 68.42
7/1/2011 201107 1292.28 48.6 24.99 15.11 33.24 73.27
6/1/2011 201106 1320.64 48.99 23.71 13.21 30.56 74.73
5/2/2011 201105 1345.2 50.91 22.81 15.07 30.02 76.65
4/1/2011 201104 1363.61 50.36 23.48 12.66 30.05 80.33
3/1/2011 201103 1325.83 47.67 23 13.15 27.8 76.82
2/1/2011 201102 1327.22 47.28 24.08 13.94 25.11 78.1
1/3/2011 201101 1286.12 51 24.97 14.83 24.71 73.28
12/1/2010 201012 1257.64 49.05 25.14 14.85 23.68 66.42
11/1/2010 201011 1180.55 48.93 22.75 12.22 21.97 63.18
10/1/2010 201010 1183.26 49 23.87 10.93 21.96 60.02
9/1/2010 201009 1141.2 48.41 21.92 11.28 21 55.77
8/2/2010 201008 1049.33 45.35 21.01 9.01 18.21 53.35
7/1/2010 201007 1101.6 46.03 22.98 10.86 19.36 53.49
6/1/2010 201006 1030.71 43.23 20.49 9.64 18.97 51.15
5/3/2010 201005 1089.41 45.47 22.97 12.46 20.93 54.18
4/1/2010 201004 1186.69 47.96 27.07 15.89 21.19 60.33
3/1/2010 201003 1169.43 49.71 25.96 12 21.23 59.62
2/1/2010 201002 1104.49 48.07 25.41 10.54 20.74 57.86
1/4/2010 201001 1073.87 47.5 24.86 11.06 18.92 56.98
12/1/2009 200912 1115.1 47.52 26.89 9.12 20.61 60.31
11/2/2009 200911 1095.63 48.26 25.95 10.57 18.82 66.39
10/1/2009 200910 1036.19 43.95 24.36 9.27 19.01 63.02
9/1/2009 200909 1057.08 43.43 22.59 12.04 18.7 60.33
8/3/2009 200908 1020.62 45 21.65 8.47 15.43 60.8
7/1/2009 200907 987.48 43.88 20.54 7.23 16.27 61.52
6/1/2009 200906 919.32 42.62 20.76 6.39 15.57 61.1
5/1/2009 200905 919.14 43.76 18.25 7.46 14.57 60.61
4/1/2009 200904 872.81 44.1 17.58 8.38 13.45 57.92
3/2/2009 200903 797.87 45.59 15.94 2.33 10.99 59.16
2/2/2009 200902 735.09 42.85 14.02 3.5 9.15 58.99
1/2/2009 200901 825.88 41 14.74 8 8.43 66.11
12/1/2008 200812 903.25 48.78 16.76 13.76 9.61 69
11/3/2008 200811 896.24 48.42 17.43 11.98 8.99 69.28
10/1/2008 200810 968.75 48.35 19.12 16.46 9.31 63.7
9/2/2008 200809 1166.36 51.89 22.85 28.5 11.16 66.75
8/1/2008 200808 1282.83 51.18 23.37 35.19 11.51 68.77
7/1/2008 200807 1267.38 50.59 21.94 29.02 11.16 68.77
6/2/2008 200806 1280 48.5 23.46 33.89 11.3 75.36
5/1/2008 200805 1400.38 49.83 24.15 49.21 11.34 75.9
4/1/2008 200804 1385.59 49.82 24.23 51.15 11.57 79.23
3/3/2008 200803 1322.7 45.27 24.12 58.77 9.32 72
2/1/2008 200802 1330.63 42.41 23.11 61.59 10.86 74.07
1/2/2008 200801 1378.55 43.4 27.59 72.72 13.1 72.64
12/3/2007 200712 1468.36 40.65 30.13 84.02 14.1 79.41
11/1/2007 200711 1481.14 40.78 28.44 86.5 14.94 75.57
10/1/2007 200710 1549.38 38.49 31.05 91.61 14.89 77.67
9/4/2007 200709 1526.75 37.16 24.85 89.44 14.95 78.15
8/1/2007 200708 1473.99 37.15 24.24 83.97 14.26 72.39
7/2/2007 200707 1455.27 38.93 24.37 73.11 13.22 71.59
6/1/2007 200706 1503.35 40.76 24.78 82.48 13.87 70.54
5/1/2007 200705 1530.62 40.32 25.8 79.53 14.2 69.94
4/2/2007 200704 1482.37 40.41 25.09 67.25 13.31 66.47
3/1/2007 200703 1420.86 39.59 23.35 69.52 13.61 63.18
2/1/2007 200702 1406.82 40.54 23.61 71.06 13.03 60.02
1/3/2007 200701 1438.24 40.02 25.77 69.97 11.23 61.79
12/1/2006 200612 1418.3 38.75 24.94 57.35 11.38 63.9
11/1/2006 200611 1400.63 38.54 24.52 53.77 12.01 64.05
10/2/2006 200610 1377.94 41.2 23.89 43.02 12.08 59.29
9/1/2006 200609 1335.85 41.24 22.76 39.49 11.35 55.71
8/1/2006 200608 1303.82 37.39 21.39 35.68 11.52 56.18
7/3/2006 200607 1276.66 37.07 19.95 35.54 10.12 55.98
6/1/2006 200606 1270.2 40.12 19.32 40.8 9.28 50.7
5/1/2006 200605 1270.09 40.36 18.78 41.46 9.49 50.33
4/3/2006 200604 1310.61 37.38 19.95 44.9 9.91 51.87
3/1/2006 200603 1294.87 39.21 22.47 43.09 11.86 50.04
2/1/2006 200602 1280.66 37.51 22.19 36.97 10.41 48.82
1/3/2006 200601 1280.08 38.13 23.17 37.06 11.25 51.32
12/1/2005 200512 1248.29 38.7 21.53 36.67 11.36 45.94
11/1/2005 200511 1249.48 40.04 22.79 38.11 12.05 47.46
10/3/2005 200510 1207.01 39.01 21.09 37.37 10.56 45.68
9/1/2005 200509 1228.81 36.13 21.12 43.77 10.87 51.71
8/1/2005 200508 1220.33 37.07 22.47 42.26 9.85 48.74
7/1/2005 200507 1234.18 40.56 20.96 45.45 9.43 47.57
6/1/2005 200506 1191.33 39.61 20.33 39.58 8.5 46.54
5/2/2005 200505 1191.5 38.82 21.11 38.09 8.17 45.51
4/1/2005 200504 1156.85 38.62 20.64 34.9 7.26 45.95
3/1/2005 200503 1180.59 41.05 19.72 35.41 6.56 48.02
2/1/2005 200502 1203.6 42.16 20.52 37.08 6.51 51.01
1/3/2005 200501 1181.27 42.8 21.37 35.9 6.22 41.37
12/1/2004 200412 1211.92 43.15 21.73 36.37 6.65 41.1
11/1/2004 200411 1173.82 42.42 21.8 29.15 6.59 41.09
10/1/2004 200410 1130.2 43.94 20.41 26.9 5.64 39.25
9/1/2004 200409 1114.58 43.35 20.18 24.83 5.41 38.54
8/2/2004 200408 1104.24 42.92 19.92 20.67 5.48 36.76
7/1/2004 200407 1101.72 43.09 20.73 22.08 5.62 36.7
6/1/2004 200406 1140.84 42.68 20.78 23.47 5.57 35.2
5/3/2004 200405 1120.68 45.31 19.08 22.2 5.35 34.28
4/1/2004 200404 1107.3 46.23 19.01 22.91 5.35 33.51
3/1/2004 200403 1126.21 48.41 18.14 22.67 5.64 32.76
2/2/2004 200402 1144.94 48.2 19.3 21.77 5.59 33.21
1/2/2004 200401 1131.13 43.58 20.12 20.2 4.9 31.93
12/1/2003 200312 1111.92 42.93 19.91 18.81 4.73 32.09
11/3/2003 200311 1058.2 44.95 18.7 18.74 5.58 28.33
10/1/2003 200310 1050.71 47.62 19.02 17.75 5.3 28.43
9/2/2003 200309 995.97 45.04 20.11 18.27 3.86 28.45
8/1/2003 200308 1008.01 47.72 19.19 18.13 4.41 29.3
7/1/2003 200307 990.31 45.09 19.11 17.15 3.96 27.47
6/2/2003 200306 974.5 43.29 18.55 17.09 2.85 27.72
5/1/2003 200305 963.59 42.36 17.8 14.12 2.64 28.1
4/1/2003 200304 916.92 45.35 18.5 14.21 2.5 26.98
3/3/2003 200303 848.18 41.89 17.52 14.62 4.05 26.79
2/3/2003 200302 841.15 38.63 17.15 12.81 4.15 26.08
1/2/2003 200301 855.7 38.42 17.11 13.1 4.61 26
12/2/2002 200212 879.82 40.6 18.64 16.49 3.91 26.6
11/1/2002 200211 936.31 43.26 20.8 16.91 4.11 26.49
10/1/2002 200210 885.76 42.98 19.28 15.55 4.45 25.46
9/3/2002 200209 815.28 39.52 15.77 18.65 4.4 24.13
8/1/2002 200208 916.07 42.87 17.7 17.75 4.67 26.81
7/1/2002 200207 911.62 39.42 17.3 17.5 5.43 27.63
6/3/2002 200206 989.82 44.09 19.72 16.88 5.98 30.75
5/1/2002 200205 1067.14 43.31 18.36 18.84 6.8 30.01
4/1/2002 200204 1076.92 44.72 18.84 20.08 6.64 30.01
3/1/2002 200203 1147.39 49.07 21.75 18.11 5.96 32.75
2/1/2002 200202 1106.73 49.58 21.04 17.2 5.43 30.86
1/2/2002 200201 1130.2 47.96 22.97 16.28 6.05 29.01
12/3/2001 200112 1148.08 46.01 23.89 14.44 6.24 29.19
11/1/2001 200111 1139.45 44.04 23.15 13.18 6.61 27.78
10/1/2001 200110 1059.78 41.04 20.97 11.15 6.72 29.13
9/4/2001 200109 1040.94 39.53 18.45 11.24 6.19 29.09
8/1/2001 200108 1133.58 38.31 20.57 14.57 6.06 29.65
7/2/2001 200107 1211.23 44.57 23.87 15.45 7.04 30.67
6/1/2001 200106 1224.38 38.91 26.32 14.98 5.25 32.07
5/1/2001 200105 1255.82 41.2 24.94 15.72 5.24 32.58
4/2/2001 200104 1249.46 41.19 24.43 15.03 5.63 32.36
3/1/2001 200103 1160.33 40.21 19.72 12.55 4.28 29.59
2/1/2001 200102 1239.94 39.82 21.27 13.44 6.4 29.61
1/2/2001 200101 1366.01 45.16 22.02 14.53 6.04 30.58

Question 5:                         Use Data5 Sheet             

                                This sheet reports monthly value of SP500 index and prices of 5 stocks.

                                REMEMBER to check the timeline order.

                Based on the whole data, create a table reporting the average monthly Return and Total Risk for each of the following stocks:

                Put both Risk and Return in percentage format (say 12.56%)

WMT

MSFT

MGM

CERN

XOM

                (For Total Risk, you use the Standard Deviation based on a Sample – STDEV.S)

                Return=Price(t)/Price(t-1)-1

5a.          Report ticker of the stock with the highest average monthly return

5b.          Report ticker of the stock with the highest total risk

5c.          If you can only invest in 01 stock for only 1 month, which stock and which yearmonth will you choose to maximize your return.

                                Put in the answer sheet that the ticker (in Cap) and year month continuously, say MGM200103.

In: Finance