Questions
6. ​Recently, fixed mortgage rates have been at historical lows due to the housing slowdown. The...

6. ​Recently, fixed mortgage rates have been at historical lows due to the housing slowdown. The data table linked below shows the​30-year fixed average mortgage rate for the month of December every year between 1987 and 2010.

Year   Rate_(%)
1987   11.09
1988   11.04
1989   10.17
1990   9.93
1991   8.57
1992   8.3
1993   7.25
1994   9.04
1995   7.21
1996   7.06
1997   7.07
1998   6.84
1999   7.65
2000   7.74
2001   7.07
2002   6.84
2003   6.94
2004   6.79
2005   7.02
2006   6.82
2007   6.63
2008   5.88
2009   5.64
2010   5.4

b. Forecast the average December mortgage rate in 2011 using a trend projection ​(Round to two decimal places as​ needed.)

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

d. Determine the Durbin–Watson statistic (Round to two decimal places as​ needed.)

e. Identify the critical values. ​(Round to two decimal places as​ needed.)

In: Statistics and Probability

Consider the following Data: Year Tea (L per person) Coffee (L per person) 1994 42.4 95.85...

Consider the following Data:

Year

Tea
(L per person)

Coffee
(L per person)

1994

42.4

95.85

1995

42.12

97.28

1996

47.61

87.62

1997

60.86

92.04

1998

55.58

99.21

1999

50.61

95.63

2000

49.89

97.42

2001

56.77

93.93

2002

62.53

95.67

2003

68.31

99.25

2004

69.88

101.31

2005

72.99

101.68

2006

71.36

104.02

2007

90.78

106.09

2008

74.7

105.8

2009

67.15

102.15

2010

67.03

101.15

2011

87.83

104.05

2012

93.4

102.7

2013

78.9

105.28

2014

111.32

106.3

2015

98.39

104.96

2016

105.25

103.57

  1. Calculate measures of central tendency and spread for coffee and tea.
  2. Create Histograms and Box-Plots for both coffee and tea, displaying the number of years in each interval of consumption in L/person.
  3. Create scatter plots for Coffee vs. Year and Tea vs. Year and Coffee vs. Tea.  
  4. Create and record the lines of best fit for each and the correlation coefficient.

In: Statistics and Probability

Automotive: The following table presents a portion of the annual returns for Fidelity's Select Automotive Fund...

Automotive: The following table presents a portion of the annual returns for Fidelity's Select Automotive Fund (in percent). This mutual fund invests primarily in companies engaged in the manufacturing, marketing, or the sales of automobiles, trucks, specialty vehicles, parts, tires, and related services.

Year Automotive Fund
1987 6.54
1988 20.06
1989 4.1
1990 -6.72
1991 37.33
1992 41.61
1993 35.38
1994 -12.75
1995 13.43
1996 16.07
1997 16.78
1998 4.94
1999 -13.47
2000 -7.24
2001 22.82
2002 -6.48
2003 43.53
2004 7.11
2005 -1.75
2006 13.33
2007 0.01
2008 -61.2
2009 122.28
2010 46.18
2011 -26.16
2012 26.17
2013 46.67

1.State the null and the alternative hypothesis in order to test whether the standard deviation is greater than 35%.

2.What assumption regarding the population is necessary to implement this step?

3. Calculate the value of the test statistics.

4. Find the p-value.

5.At a=0.05, what is your conclusion?

In: Statistics and Probability

According to the Catholic Church, what is "property?"

According to the Catholic Church, what is "property?"

In: Psychology

1. According to Bryson, what is “boundary work” and who does it? it is the drawing...

1. According to Bryson, what is “boundary work” and who does it?

it is the drawing of congressional districts; legislators do it
it is the establishment of qualifications for jobs; employers do it
it is the establishment of boundaries against those we dislike; we all do it
it is the establishment of career ladders within firms; employers do it

2. For Americans in general, the most liked genres of music are ____ and the most disliked genres are ____.

jazz and classical; oldies and easy listening
oldies and country; show tunes and bluegrass
jazz and classical; gospel and country
oldies and country; heavy metal and rap

3. According to Bryson, which of the following best describes the musical tastes of highly educated, upper middle class Americans?

they dislike all genres of popular music and listen only to classical music
they dislike far fewer musical genres than people from lower classes
they like all musical genres, but especially like country and gospel
they like all musical genres, but especially like heavy metal and rap

4. According to Bryson, what characteristic is shared by those people who listen to the genres of music that are least tolerated by the "tolerant" people in her study?

they have below average levels of education
they are older
they are less exclusive in their musical tastes (i.e., tend to listen to all kinds of music)
they listen to the most popular types of music

5. Based on Bryson’s findings and what you have learned about social stratification, how might boundary work affect inequality?

boundary work reduces inequality, because everyone does boundary work
boundary work reproduces inequality, because "gatekeepers" tend to exclude those whose tastes or dispositions differ from their own
boundary work reduces inequality, since all who achieve the same level of education gain admission into the elite
boundary work reduces inequality, because the yardsticks that members of the elite apply to the rest of us vary widely from member of the elite to another

In: Psychology

Is health a legitimate concern of the Christian church? what has your experience been with health...

Is health a legitimate concern of the Christian church? what has your experience been with health ministry in the church setting? Have you encountered a faith Community Nurse in your experience? How would the Faith Community Nurse role enhance the health of your faith community? How does the Faith Community Nurse role support global and planetary health?

In: Nursing

Determine confidence intervals for each of the following: Sample Statistic Sample Size Confidence Level Confidence Interval...

Determine confidence intervals for each of the following:

Sample Statistic

Sample

Size

Confidence

Level

Confidence

Interval

Lower

Boundary

Upper

Boundary

Mean: 150

Std. Dev.: 30

200

95%

Percent: 67%

300

99%

Mean: 5.4

Std. Dev.: 0.5

250

99%

Percent: 25.8%

500

99%

In: Statistics and Probability

The academic paper by Martin, McNally, and Kay (2013) asserts that: Select one: Academic research on...

The academic paper by Martin, McNally, and Kay (2013) asserts that: Select one: Academic research on business start-ups does not help the aspiring entrepreneur. Academic research on business start-ups is useful for the aspiring entrepreneur. Ninety per cent of woman’s clothing stores fail within three years. None of the statements here are asserted by that academic paper.

In: Accounting

You are an owner of Carrefour supermarket. You have made feature advertisings for last three years....

You are an owner of Carrefour supermarket. You have made feature advertisings for last three years. You want to know the effectiveness of this feature advertising on store traffic(numbers of shoppers) in different week. In data set, you have: average numbers of shoppers, average numbers of feature advertising, and average price each week.

With the tables bellow it was done a REGRESSION model in Excel and you should interpret the results obtained from the equation based on the questions.

Q1. Consider a regression model (Model I) that has feature advertising as a single independent variable with intercept. Estimate your model and interpret your estimation results.

Regression Statistics
Multiple R 0,53969388
R Square 0,29126948
Adjusted R Square 0,28666733
Standard Error 205,827509
Observations 156
ANOVA
df SS MS F Significance F
Regression 1 2681275,289 2681275,3 63,28992304 3,59619E-13
Residual 154 6524204,403 42364,964
Total 155 9205479,692
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95,0% Upper 95,0%
Intercept 609,046483 19,25202773 31,635446 2,91178E-69 571,0143324 647,0786342 571,0143324 647,0786342
feature 9,48205612 1,191887424 7,9554964 3,59619E-13 7,127496744 11,83661549 7,127496744 11,83661549

Q2. Update above regression model (Model II) by adding an additional independent variable. average price in order to capture the effect of price promotion activities such as coupon during week. Estimate your model and interpret your estimation results. Do you think which model makes more sense between Model I and Model II? Why?

Regression Statistics
Multiple R 0,547853773
R Square 0,300143756
Adjusted R Square 0,290995309
Standard Error 205,202155
Observations 156
ANOVA
df SS MS F Significance F
Regression 2 2762967,255 1381483,628 32,80816251 1,39052E-12
Residual 153 6442512,437 42107,92443
Total 155 9205479,692
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95,0% Upper 95,0%
Intercept 960,3924697 252,9768793 3,796364602 0,000211191 460,6137971 1460,171142 460,6137971 1460,171142
feature 7,806303253 1,690984733 4,616424443 8,21304E-06 4,465610192 11,14699631 4,465610192 11,14699631
price -65,10617381 46,74276697 -1,392860929 0,165682458 -157,4507315 27,2383839 -157,4507315 27,2383839
year month week_id shoppers feature price
2001 200101 1 673 0 5,283581
2001 200101 2 225 2,75 5,485372
2001 200101 3 614 1,5 5,458567
2001 200101 4 537 41 4,496669
2001 200102 5 592 0 5,133277
2001 200102 6 984 11,75 4,792256
2001 200102 7 946 0 5,236702
2001 200102 8 830 0 5,391892
2001 200103 9 774 2 5,478373
2001 200103 10 1102 2 5,336039
2001 200103 11 605 2 5,456661
2001 200103 12 677 6 5,450694
2001 200104 13 509 0 5,633399
2001 200104 14 758 23,5 4,486229
2001 200104 15 888 22 4,546779
2001 200104 16 616 3 5,220925
2001 200104 17 952 33 4,702368
2001 200105 18 708 0 5,452373
2001 200105 19 701 0 5,387118
2001 200105 20 730 0 5,349753
2001 200105 21 708 0 5,462288
2001 200106 22 792 0 5,401755
2001 200106 23 345 18 4,612751
2001 200106 24 1109 18 4,358693
2001 200106 25 726 15,75 5,033526
2001 200107 26 687 19,5 5,280568
2001 200107 27 687 17,25 5,259636
2001 200107 28 584 0 5,463938
2001 200107 29 571 1 5,530473
2001 200107 30 689 6 5,546923
2001 200108 31 775 2 5,494922
2001 200108 32 556 2,5 5,451241
2001 200108 33 815 19,5 5,083509
2001 200108 34 720 33 4,340006
2001 200109 35 789 0 5,632332
2001 200109 36 659 2,25 5,235402
2001 200109 37 624 2 5,658558
2001 200109 38 595 0 5,615277
2001 200109 39 675 0 5,497289
2001 200110 40 921 21,25 4,682004
2001 200110 41 677 0 5,560798
2001 200110 42 954 33 4,933386
2001 200110 43 768 0 5,616354
2001 200111 44 667 0 5,613973
2001 200111 45 670 0 5,715224
2001 200111 46 858 1,5 5,730711
2001 200111 47 976 19 5,032326
2001 200112 48 733 4,5 5,676139
2001 200112 49 581 2,25 5,690723
2001 200112 50 603 0 5,675589
2001 200112 51 794 0 5,562544
2001 200112 52 1450 27 4,608759
2002 200201 53 654 0 5,770627
2002 200201 54 619 1,5 5,580953
2002 200201 55 703 0 5,646799
2002 200201 56 888 33 4,745466
2002 200202 57 691 0 5,723213
2002 200202 58 625 0 5,720224
2002 200202 59 485 1,5 5,879711
2002 200202 60 549 0 5,846466
2002 200203 61 606 0 5,921452
2002 200203 62 1017 18 4,716539
2002 200203 63 534 0 5,608539
2002 200203 64 467 0 5,876981
2002 200203 65 538 0 5,443104
2002 200204 66 201 0 5,789117
2002 200204 67 492 0 5,638577
2002 200204 68 1120 54 4,25556
2002 200204 69 666 2,5 5,491502
2002 200205 70 577 2 5,725875
2002 200205 71 565 3,75 5,654425
2002 200205 72 606 1,5 5,560462
2002 200205 73 700 17,5 5,266714
2002 200206 74 564 0 5,633777
2002 200206 75 1250 55,5 4,233248
2002 200206 76 727 0 5,382765
2002 200206 77 587 0 5,425247
2002 200206 78 532 0 5,626429
2002 200207 79 523 3 5,600956
2002 200207 80 566 0 5,584081
2002 200207 81 2210 10,5 5,629781
2002 200207 82 493 0 5,655822
2002 200208 83 897 0 5,555638
2002 200208 84 498 0 5,393614
2002 200208 85 534 0 5,545618
2002 200208 86 587 14,25 5,562061
2002 200209 87 1352 38,25 4,343809
2002 200209 88 654 0 5,12393
2002 200209 89 715 0 5,138755
2002 200209 90 422 0 5,746588
2002 200209 91 442 0 5,68457
2002 200210 92 485 0 5,685258
2002 200210 93 815 18,25 4,631718
2002 200210 94 580 0 5,768603
2002 200210 95 550 2,25 5,737655
2002 200211 96 546 1,5 5,725092
2002 200211 97 497 2,25 5,572455
2002 200211 98 853 21 4,699285
2002 200211 99 1049 0 4,516387
2002 200212 100 1003 0 4,465075
2002 200212 101 535 0 5,603925
2002 200212 102 831 18 4,799904
2002 200212 103 967 30 4,534664
2002 200212 104 116 0 4,716788
2003 200301 105 475 0 5,841979
2003 200301 106 253 0 5,973202
2003 200301 107 384 0 5,863129
2003 200301 108 785 27 4,649205
2003 200302 109 521 0 5,647313
2003 200302 110 507 0 5,665049
2003 200302 111 524 0 5,634733
2003 200302 112 1012 63,75 4,11654
2003 200303 113 903 0 4,424862
2003 200303 114 627 0 5,000606
2003 200303 115 454 0 5,729229
2003 200303 116 454 0 5,627445
2003 200303 117 996 48,5 4,306096
2003 200304 118 1120 33 4,346304
2003 200304 119 526 0 5,048175
2003 200304 120 529 0 4,975217
2003 200304 121 635 0 4,986016
2003 200305 122 641 0 4,948768
2003 200305 123 782 34,25 4,508325
2003 200305 124 620 7,5 4,796823
2003 200305 125 542 0 4,881494
2003 200306 126 984 36,75 4,448232
2003 200306 127 718 0 4,490682
2003 200306 128 592 0 4,957027
2003 200306 129 500 0 4,9821
2003 200306 130 856 26,25 4,445394
2003 200307 131 559 0 5,008426
2003 200307 132 365 0 4,886243
2003 200307 133 572 0 4,797745
2003 200307 134 745 40,5 3,891976
2003 200308 135 785 30 3,937432
2003 200308 136 522 0 4,773736
2003 200308 137 658 0 4,868519
2003 200308 138 514 0 4,857374
2003 200308 139 540 0 4,897981
2003 200309 140 985 28,5 4,239318
2003 200309 141 522 0 4,667165
2003 200309 142 515 0 4,707379
2003 200309 143 975 33,75 4,319703
2003 200310 144 582 3 5,138866
2003 200310 145 223 4 5,417828
2003 200310 146 575 1,75 5,136574
2003 200310 147 965 37,5 4,336062
2003 200311 148 659 6 4,778194
2003 200311 149 634 0 4,776562
2003 200311 150 733 30 4,632115
2003 200311 151 716 0 4,749567
2003 200311 152 542 0 5,604184
2003 200312 153 524 0 5,545878
2003 200312 154 801 20 4,696554
2003 200312 155 702 25 5,194544
2003 200312 156 649 0 5,14775

In: Statistics and Probability

You have the following information regarding AJH Company: Sales 25,000 units per year at $45 per...

You have the following information regarding AJH Company:

Sales 25,000 units per year at $45 per unit

Production 30,000 units in 2004

At the beginning of 2004 there was no inventory.

Direct Materials are $12.00 per unit

Direct labor is $10.00 per unit

Variable manufacturing overhead costs are $8.00 per unit

Fixed manufacturing overhead costs are $150,000 per year

Marketing costs are all variable at $3.00 per unit

Administrative costs are all fixed at $75,000 per year

Required:

(a.) Prepare an income statement under absorption costing for 2004

(b.) Prepare an income statement under variable costing for 2004

(c.) Prepare an income statement under throughput costing for 2004.

In: Accounting