Sales for the Forever Young Cosmetics Company (in $ millions) are as follows:

(a) Develop a three-year moving average.

(b) Develop a four-year moving average.

(c) Develop a five-year moving average.

(d) Develop a seven-year rmoving average.

The following table shows the number of customer complaints against airlines operating in a country during the given year.

Use interpolation to estimate the number of complaints in 2005.

(Round your answer to the nearest whole number.)

The interpolated value for

2005 is _______ complaints.

Assume that the regression line for the New York City murder rate per 100,000 residents between 2000 and 2010 is given by y=−0.24x+488.7, where x is the year and y is the murder rate. Interpolate to get an approximate value for the rate in 2006. Round your answer to one decimal place.

Interpolated rate

The table below shows the murder rate per 100,000 residents for a large American city over a twelve-year period.

The table below shows per capita cheese consumption, in pounds, for several years for one American state.

Which of the following is the equation of the regression line for this data?

A. y=−0.595x+1163.4
B. y=1163.4x−0.595
C. y=0.595x−1163.4
D. y=0.595x+1163.4
E. y=1163.4x+0.595
F. y=−0.595x−1163.4

Would you expect the regression line for the price of a camera vs. the number sold to slope up or down, or would it be pretty much horizontal?

A. up
B. down
C. horizontal

A particular ranking system determines the cost of living in the most expensive cities in the world as an index. This index scales city X as 100 and expresses the cost of living in other cities as a percentage of the city X cost. For​ example, in​ 2007, the cost of living index in city Y was 125.7 ​, which means that it was 26 ​% higher than city X. The accompanying scatterplot shows the index for 2007 plotted against the 2006 index for 15 cities. Complete parts a through e below. LOADING... Click the icon to view the data table and scatterplot. ​a) Describe the association between the cost of living indices in 2007 and 2006. Choose the correct answer below. A. The association between the cost of living indices in 2007 and 2006 is​ negative, linear, and strong. B. The association between the cost of living indices in 2007 and 2006 is​ negative, linear, and weak. C. The association between the cost of living indices in 2007 and 2006 is​ positive, linear, and strong. Your answer is correct. D. The association between the cost of living indices in 2007 and 2006 is​ positive, curved, and strong. E. The association between the cost of living indices in 2007 and 2006 is​ positive, linear, and weak. F. There is no association between the cost of living indices in 2007 and 2006. ​b) The Upper R squared for the regression equation is 0.847 . Interpret the value of Upper R squared . Select the correct choice below and fill in the answer box to complete your choice. ​(Type an integer or a​ decimal.) A. The value of Upper R squared equalsnothing ​% indicates the percentage of the variability in cost of living in 2006 that can be explained by variability in cost of living in 2007. B. The value of Upper R squared equals84.7 ​% indicates the percentage of the variability in cost of living in 2007 that can be explained by variability in cost of living in 2006. Your answer is correct. C. The value of Upper R squared equalsnothing ​% indicates the percentage of the variability in cost of living in 2006 that cannot be explained by variability in cost of living in 2007. D. The value of Upper R squared equalsnothing ​% indicates the percentage of the variability in cost of living in 2007 that cannot be explained by variability in cost of living in 2006. ​c) Find the correlation. The correlation coefficient is . 920 . ​(Round to three decimal places as​ needed.) ​d) Using the data​ provided, find the least squares fit of the 2007 index to the 2006 index. ModifyingAbove 2007 Index with caret equals3.605plusleft parenthesis nothing right parenthesis times 2006 Index ​(Round to three decimal places as​ needed.) ​e) Predict the 2007 cost of living index of city 2 and find its residual. The predicted 2007 cost of living index of city 2 is nothing . ​(Round to one decimal place as​ needed.)

City   Index_2006   Index_2007
1   117.3   125.7
2   121.8   122
3   102.3   104.3
4   93   95.8
5   111.7   119.6
6   112.9   124.8
7   95.3   97.3
8   109.9   111.5
9   100.5   101.8
10   95.8   103.6
11   121.2   121.4
12   119.3   124.6
13   105.9   118.3
14   111.2   119.4
15   111.3   115.8

The data set below contains 100 records of heights and weights for some current and recent Major League Baseball (MLB) players.
Note: BMI 18.5 - 24.9 normal group, 25 - 29.9 overweight group and > 30 obese group. 

Use the data set to answer the following questions in order:

1.A researcher believes that there is a difference between the BMI of players in the National League vs American League. At a 5% level of significance, is there enough evidence to support the researcher’s claim. (Justify your response by conducting a pooled 2-Sample Mean Hypothesis T-Test.)

2.A researcher believes that a new dietary program can reduce BMI of MLB players. Sixteen players were randomly selected across the MLB league and participated in the new diet program. The 16 MLB players’ BMI was calculated before they started the program and then after 6 months. (see Excel Data File) At a 10% level of significance, is there enough evidence to suggest that the new dietary program for MLB players reduces BMI?

American League
Height(inches) Weight(pounds) Age- BMI
74 180 23 23.1
74 185 23 23.8
74 160 26 20.5
69 180 28 26.6
70 185 34 26.5
73 180 27 23.7
72 188 31 25.5
77 220 33 26.1
74 210 33 27.0
70 195 31 28.0

Diet Program
Height(inches) Weight(pounds) before Weight(pounds) After BMI Before BMI After
73 211 209 27.8 27.6
73 200 193 26.4 25.5
70 180 183 25.8 26.3
70 190 192 27.3 27.5
70 170 166 24.4 23.8
76 230 225 28.0 27.4
68 155 168 23.6 25.5
71 185 190 25.8 26.5
72 185 178 25.1 24.1
75 200 192 25.0 24.0
75 225 222 28.1 27.7
75 225 232 28.1 29.0
75 220 218 27.5 27.2
68 160 176 24.3 26.8
74 205 200 26.3 25.7
78 235 219 27.2 25.3

National League
Height(inches) Weight(pounds) Age BMI
76 230 27 28.0
68 155 26 23.6
71 185 26 25.8
72 185 28 25.1
75 200 25 25.0
75 225 33 28.1
75 225 35 28.1
75 220 31 27.5
68 160 29 24.3
74 205 29 26.3
78 235 28 27.2
71 250 34 34.9
73 210 31 27.7

height Weight(pounds) Age
70 195 25
74 180 23
74 215 35
72 210 31
72 210 35
73 188 36
69 176 29
69 209 31
71 200 35
76 231 30
71 180 27
73 188 24
73 180 27
74 185 23
74 160 26
69 180 28
70 185 34
72 197 30
73 189 28
75 185 22
78 219 23
79 230 26
76 205 36
74 230 31
76 195 32
72 180 31
71 192 29
75 225 29
77 203 32
74 195 36
73 182 26
74 188 27
78 200 24
73 180 27
75 200 25
73 200 28
75 245 30
75 240 31
74 215 31
69 185 32
71 175 28
74 199 28
73 200 29
73 215 24
76 200 22
74 205 25
74 206 27
70 186 33
72 188 31
77 220 33
74 210 33
70 195 31
76 244 37
75 195 26
73 200 23
75 200 25
76 212 24
76 224 35
78 210 27
74 205 31
74 220 28
76 195 30
77 200 25
81 260 24
78 228 30
75 270 26
77 200 23
75 210 26
76 190 25
74 220 32
72 180 24
72 205 25
75 210 24
73 220 24
73 211 32
73 200 30
70 180 24
70 190 32
70 170 23
76 230 27
68 155 26
71 185 26
72 185 28
75 200 25
75 225 33
75 225 35
75 220 31
68 160 29
74 205 29
78 235 28
71 250 34
73 210 31
76 190 38
74 160 24
74 200 26
79 205 24
75 222 24
73 195 28
76 205 33
74 220 36

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 17,054 17,514 14,315 13,332 17,775 14,556 11,151 18,650 16,647

Step 1 of 2 : Find the two-period moving average for the year 2003. If necessary, round your answer to one decimal place.

find both the arithmetic growth rate and the geographic growth rate of the dividends for Custers ice cream shoppes.

year.        dividends

2001.         $1.46
2002.         $2.37
2003.         $3.15
2004.         $4.34
2005.         $5.05
2006.         $6.25
2007.         $7.25
2008.         $8.14
2009.         $7.68
2010.         $6.57

what is arithmetic growth rate of the dividends for Custers ice cream shoppes?

3. In the table below you can find the earnings per share (EPS) and dividend per share (DPS) information for General Electric (GE) and General Motors (GM). For each company, please explain whether it is appropriate to use DDM to value the stock. (3 points)

Year   Company   EPS($)   DPS ($)
2001   GENERAL ELECTRIC CO   1.38   0.64
2002   GENERAL ELECTRIC CO   1.42   0.72
2003   GENERAL ELECTRIC CO   1.5   0.76

2004   GENERAL ELECTRIC CO   1.62   0.8
2005   GENERAL ELECTRIC CO   1.58   0.88
2006   GENERAL ELECTRIC CO   2.01   1
2007   GENERAL ELECTRIC CO   2.18   1.12

Year   Company   EPS($)   DPS ($)
2001   GENERAL MOTORS CO   1.78   2
2002   GENERAL MOTORS CO   3.37   2
2003   GENERAL MOTORS CO   7.24   2
2004   GENERAL MOTORS CO   4.97   2
2005   GENERAL MOTORS CO   -18.69   2
2006   GENERAL MOTORS CO   -3.5   1
2007   GENERAL MOTORS CO   -68.45   1

The following are the average scores on the mathematics part of the Scholastic Aptitude Test (SAT) for some of the years from 1994 to 2009.

Year, SAT Score

1994 504

1996 508

1998 512

2000 514

2002 516

2004 518

2005 520

2007 515

2009 515

Assuming a simple linear regression model, predict the average scores in 1997, 2006 and 2008

1      Consider the following returns:

Year End Stock      Y Realized Return Stock        Z Realized Return

2004                   -14.6%   0.2%

2005                   4.3%                               -3.2%

2006                   -58.1% -27.0%

2007                   71.1%                             27.9%

2008                   17.3%                             -5.1%

2009                   0.9%                               -11.3%

Calculate the variance and expected return on a portfolio that is made up of equal investments in Stock Y and Stock Z stock.