6. Recently, fixed mortgage rates have been at historical lows due to the housing slowdown. The data table linked below shows the30-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 |
Coffee |
|---|---|---|
|
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 |
In: Statistics and Probability
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?"
In: Psychology
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 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 |
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 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 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 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