Questions
American customer satisfaction index: Starbucks in the U.S. 2006-2016 2006 77 2007 78 2008 77 2009...

American customer satisfaction index: Starbucks in the U.S. 2006-2016

2006

77

2007

78

2008

77

2009

76

2010

78

2011

80

2012

76

2013

80

2014

76

2015

74

2016

75

This statistic shows the American customer satisfaction index scores of Starbucks in the United States from 2006 to 2016. Starbucks had an ACSI score of 75 in 2016. Just over 50 percent (around 7,880) of all Starbucks stores were company-operated stores, from which Starbucks generates around 79 percent of its revenue. Around 5,292 stores are licensed stores. Starbucks, which became a publicly traded company on June 26, 1992, generated around 21.32 billion U.S. dollars in revenue in the 2016 fiscal year. In its company-operated stores Starbucks generates 74 percent of revenue from the sale of beverages, 19 percent from food sales and three percent from the sale of packaged and single serve coffees. Another four percent of retail sales are attributable to coffee-making equipment and other merchandise. The United States is Starbucks’ biggest and most important market. In 2016, revenues from Starbucks Americas segment amounted to more than 14 billion U.S. dollars. The Americas segment comprises over 13,000 stores in the U.S., Canada, Mexico, Puerto Rico, Brazil Chile and other American countries with around 86 percent of those stores located in the United States. 1. Plot this set of data as a scatterplot in excel. 2. Find the correlation coefficient. 3. Is it positive or negative? 4. What does the sign tell us? 5. What does the correlation imply about the relationship between the time and the satisfaction? 6. Is the correlation significant? Why or why not? (Answer in 1-2 complete sentences.) (Use the Pearson calculator). 7. Draw the trendline in excel. Can the regression line be used for prediction? No, it is too weak. Insert excel graph here:

In: Statistics and Probability

Based on the data below, forecast US hotel revenues for 2017, 2018, and 2019. Provide the...

Based on the data below, forecast US hotel revenues for 2017, 2018, and 2019. Provide the model developed for your calculations.

YEAR REVENUE ($USD BILLION)

2001 105.00

2002 111.90

2003 118.80

2004 119.30

2005 135.50

2006 146.20

2007 153.80

2008 154.70

2009 133.30

2010 142.00

2011 153.30

2012 155.50

2013 163.00

2014 176.70

2015 189.50

2016 199.30

In: Finance

Estimate a linear time trend for the Netflix data using data for the period 2000Q1 ......

Estimate a linear time trend for the Netflix data using data for the period 2000Q1 ... Estimate a linear time trend for the Netflix data using data for the period 2000Q1 to 2008Q4. a. Carry out a preliminary analysis of the data including a line fit plot and interpret your results. b. Test whether the slope is significantly different from zero, using alpha = 0.05. c. Compute S and R2 and interpret the results. d. Compute point forecasts for sales in each quarter of 2009. e. Comment upon your results. Note: you can use Regression under the Data Analysis tool in Microsoft Excel.

Year Quarter QtrNum Quarterly Sales
2000 1 1 5.17
2000 2 2 7.15
2000 3 3 10.18
2000 4 4 13.39
2001 1 5 17.06
2001 2 6 18.36
2001 3 7 18.88
2001 4 8 21.62
2002 1 9 30.53
2002 2 10 36.36
2002 3 11 40.73
2002 4 12 45.19
2003 1 13 55.67
2003 2 14 63.19
2003 3 15 72.20
2003 4 16 81.19
2004 1 17 99.82
2004 2 18 119.71
2004 3 19 140.41
2004 4 20 140.66
2005 1 21 152.45
2005 2 22 164.03
2005 3 23 172.74
2005 4 24 193.00
2006 1 25 224.13
2006 2 26 239.35
2006 3 27 255.95
2006 4 28 277.23
2007 1 29 305.32
2007 2 30 303.69
2007 3 31 293.97
2007 4 32 302.36
2008 1 33 326.18
2008 2 34 337.61
2008 3 35 341.27
2008 4 36 359.94
2009 1 37 394.1
2009 2 38 408.59
2009 3 39 423.12
2009 4 40 444.19

In: Statistics and Probability

American customer satisfaction index: Starbucks in the U.S. 2006-2016 2006 77 2007 78 2008 77 2009...

American customer satisfaction index: Starbucks in the U.S. 2006-2016

2006

77

2007

78

2008

77

2009

76

2010

78

2011

80

2012

76

2013

80

2014

76

2015

74

2016

75

ABOUT THIS STATISTIC: This statistic shows the American customer satisfaction index scores of Starbucks in the United States from 2006 to 2016. Starbucks had an ACSI score of 75 in 2016.

Starbucks

The Starbucks Corporation is a coffeehouse chain based in Seattle which operates more than 25 thousand stores worldwide (as of 2016). Just over 50 percent (around 7,880) of all Starbucks stores were company-operated stores, from which Starbucks generates around 79 percent of its revenue. Around 5,292 stores are licensed stores. Starbucks, which became a publicly traded company on June 26, 1992, generated around 21.32 billion U.S. dollars in revenue in the 2016 fiscal year.

In its company-operated stores Starbucks generates 74 percent of revenue from the sale of beverages, 19 percent from food sales and three percent from the sale of packaged and single serve coffees. Another four percent of retail sales are attributable to coffee-making equipment and other merchandise.

The United States is Starbucks’ biggest and most important market. In 2016, revenues from Starbucks Americas segment amounted to more than 14 billion U.S. dollars. The

Americas segment comprises over 13,000 stores in the U.S., Canada, Mexico, Puerto Rico, Brazil Chile and other American countries with around 86 percent of those stores located in the United States. 2

  1. Plot this set of data as a scatterplot in excel. Insert excel graph here:
  1. Find the correlation coefficient.
  2. Is it positive or negative?
  3. What does the sign tell us?
  4. What does the correlation imply about the relationship between the time and the satisfaction?
  1. Is the correlation significant? Why or why not? (Answer in 1-2 complete sentences.) (Use the Pearson calculator).

20) Draw the trendline in excel. Can the regression line be used for prediction? No, it is too weak. Insert excel graph here:

In: Statistics and Probability

Consider the following data: Number of Deaths in the U.S. by Drug Overdose Year   2000 2001...

Consider the following data:

Number of Deaths in the U.S. by Drug Overdose

Year   2000 2001 2002 2003 2004 2005 2006 2007 2008

Deaths 17,046 17,511 14,317 13,372 17,767 14,526 11,155 18,657 16,644

Step 2 of 2 : Find the three-period moving average for the year 2007. If necessary, round your answer to one decimal place.

In: Statistics and Probability

The consumer Price Index for the different years are as follows. 2003 10.75 2004 89.25 2005...

The consumer Price Index for the different years are as follows.

2003 10.75

2004 89.25

2005 83.34

2006 56.25

1) Calculate Inflation rate for 2003, 2004, and 2005.

2) What kind of fiscal policy will you use to fight against inflation. Explain it briefly.

In: Economics

Date. Recepits. paid. shows. Avg attendance. ticket pric 5/1/2007 18.6859 259.181 36 72.10 6/1/2007 20.4195 281.296...




Date. Recepits. paid. shows. Avg
attendance. ticket pric
5/1/2007 18.6859 259.181 36 72.10
6/1/2007 20.4195 281.296 36 72.59
6/1/2007 20.0656 271.121 34 74.01
6/1/2007 20.4281 272.258 33 75.03
6/1/2007 19.6621 263.937 31 73.50
7/1/2007 18.5471 252.339 29 74.50
7/1/2007 18.4206 236.118 27 78.01
7/1/2007 18.6971 235.814 27 79.29
7/1/2007 19.8380 248.756 28 79.75
8/1/2007 18.4166 228.483 25 80.60
8/1/2007 18.2825 226.567 25 80.69
8/1/2007 17.8652 224.740 25 79.49
8/1/2007 16.1950 202.309 22 80.05
9/1/2007 16.3232 200.450 21 81.43
9/1/2007 12.4829 158.183 21 78.91
9/1/2007 13.2313 174.971 23 75.62
9/1/2007 13.9584 183.636 24 76.01
10/1/2007 14.3296 187.818 24 76.20
10/1/2007 16.0449 204.293 25 78.54
10/1/2007 16.1729 210.571 27 76.80
10/1/2007 17.3821 226.011 29 76.91
11/1/2007 16.9973 236.084 34 72.00
12/1/2007 14.6261 185.169 34 78.99
12/1/2007 19.7096 254.081 34 77.57
12/1/2007 19.0420 246.524 35 77.24
1/1/2008 21.0999 258.330 34 81.68
1/1/2008 20.7393 263.764 35 78.77
1/1/2008 15.4748 215.110 31 71.94
2/1/2008 16.2711 218.639 31 74.42
2/1/2008 14.4511 200.948 31 71.91
5/1/2006 18.4072 248.614 32 74.04
6/1/2006 18.1152 243.009 30 74.55
6/1/2006 19.5138 255.470 30 76.38
6/1/2006 18.6410 249.640 29 74.67
6/1/2006 17.5541 233.734 27 75.05
7/1/2006 16.1619 213.849 26 75.10
7/1/2006 17.0159 221.610 25 76.78
7/1/2006 16.6649 215.746 24 77.24
7/1/2006 16.5649 215.374 24 77.27
8/1/2006 16.2365 209.932 24 77.34
8/1/2006 16.3029 210.385 24 77.49
8/1/2006 15.5021 199.733 23 77.61
8/1/2006 15.4114 199.256 23 77.34
9/1/2006 16.3163 209.388 23 77.92
9/1/2006 12.1098 154.716 20 78.27
9/1/2006 13.1531 171.017 20 76.91
9/1/2006 13.9269 179.533 23 77.57
10/1/2006 15.9728 198.224 25 80.58
10/1/2006 16.4737 211.902 26 77.74
10/1/2006 17.1688 224.206 27 76.58
11/1/2006 17.3730 236.193 31 73.55
11/1/2006 19.2291 259.970 32 73.97
11/1/2006 18.6967 244.124 32 76.59
12/1/2006 23.4222 269.141 33 87.03
12/1/2006 19.8776 251.616 32 79.00
12/1/2006 21.2187 271.693 32 78.10
12/1/2006 20.3516 258.335 32 78.78
1/1/2006 20.4976 245.845 30 83.38
1/1/2007 19.5098 254.128 32 76.66
1/1/2007 17.3417 231.899 28 74.78
2/1/2007 14.7775 198.277 27 74.53
2/1/2007 14.4905 194.268 27 74.59
2/1/2007 13.8928 196.232 27 70.80
2/1/2007 14.4957 199.566 28 72.64
3/1/2007 17.2296 221.171 27 77.90
3/1/2007 18.2944 249.955 29 73.19
3/1/2007 15.3800 214.013 30 71.86
3/1/2007 17.7409 247.434 31 71.70
4/1/2007 19.5766 250.425 29 78.17
4/1/2007 18.3463 233.061 30 78.72
4/1/2007 19.5848 252.013 32 77.71
4/1/2007 19.4535 256.198 33 75.93
5/1/2007 21.7175 272.738 34 79.63
5/1/2007 22.8968 299.117 38 76.55
5/1/2007 20.6534 278.326 38 74.20
5/1/2007 20.0948 266.067 37 75.52
6/1/2007 20.8585 272.599 37 76.52
6/1/2007 22.1877 283.315 36 78.87



Ticket Prices :On a typical night in New York City, about 25,000 people attend a Broadway show, paying an average price of more than $75 per ticket. Data for most weeks of 2006-2008 consider the variables Paid Attendance (thousands), # shows, Average Ticket Price ($) to predict Receipts($million).

A. Construct a 95% CI estimate of the mean receipts when attendance was 200,000 customers attending 30 shows at an average ticket price of $70.

B. Construct a 95% Prediction interval of receipts, when attendance was 200,000 customers attending 30 shows at an average ticket price of $70.

C. Explain the difference in the results in parts i) and j)

In: Statistics and Probability

1. A fund had the following annual prices and dividends (beginning of the year): 2002 2003...

1. A fund had the following annual prices and dividends (beginning of the year): 2002 2003 2004 2005* 2006 2007 $50 $55 $63 $20 $24 $23 $1 $1 $.40 $.40 $.40 * Price reflects a three for one split.

a. Compute each year return.

b. Compute the four years holding period return.

c. Compute the annualized rate of return

In: Finance

Consider the following price data from 2002 to 2010 Year 2002 2003 2004 2005 2006 2007...

Consider the following price data from 2002 to 2010

Year 2002 2003 2004 2005 2006 2007 2008 2009 2010
Price 3.34 3.56 3.61 4.06 4.25 4.37 4.68 4.59 4.81

a. Compute the simple price index using 2002 as the base year. (Round your answers to 2 decimal places.)

Year Price index
2002
2003
2004
2005
2006
2007
2008
2009
2010

b. Update the index numbers with a base year revised from 2002 to 2005. (Round your answers to 2 decimal places.)

In: Math

Question 4 Using the dataset below, estimate whether there is a difference among the graduation rates...

Question 4 Using the dataset below, estimate whether there is a difference among the graduation rates - identified as percentages - of five high schools over a 10-year period. Explain your results. Yr HS 1 HS 2 HS 3 HS 4 HS 5 2003 67 82 94 65 88 2004 68 87 78 65 87 2005 65 83 81 45 86 2006 68 73 76 57 88 2007 67 77 75 68 89 2008 71 74 81 76 87 2009 78 76 79 77 81 2010 76 78 89 72 78 2011 72 76 76 69 89 2012 77 86 77 58 87

In: Statistics and Probability