Listed below is a company's sales in the period 2000 to 2011 along with the national income of the country, where the business is set up.   Year National Income (in millions of $) Company's sales (in thousands of $) 2000 305 470 2001 316 485 2002 358 499 2003 350 515 2004 375 532 2005 392 532 2006 400 556 2007 398 576 2008 430 583 2009 456 587 2010 578 601 2011 498 605   Consider the following as the estimated regression analysis using excel that could be used to estimate the company's yearly sales, given the yearly national income.      What is the estimated regression equation that can be used to predict the company's sales using the national income? a. y^=328.9817+0.534x b. y^=0.534+328.9817x c. y=328.9817+0.534x d. y=0.534+328.9817x

year Income ($) B P1994 6036 85.1 20.41995 6113 87.8 20.21996 6271 88.9 21.31997 6378 94.5 19.91998 6727 99.9 181999 7027 99.5 19.92000 7280 104.2 22.22001 7513 106.5 22.32002 7728 109.7 23.42003 7891 110.8 26.22004 8134 113.7 27.12005 8322 113 292006 8562 116 33.52007 9042 108.7 42.82008 8867 115.4 35.62009 8944 118.9 32.22010 9175 127.4 33.72011 9381 123.5 34.42012 9735 117.9 48.52013 9829 105.4 66.12014 9722 103.2 62.42015 9769 104.2 58.62016 9725 103.7 56.72017 9930 105.7 55.52018 10419 105.5 57.32019 10625 106.5 53.72020 10905 107.3 52.6   Make a forecast of Mr. X's Income for the next five years Make forecast of income for the given values of B =110 and P = 55

You collect data of average annual returns for Amazon Stock and Microsoft Stock and make the following table: (This data can be copied into Excel.) Year Amazon Return Microsoft Return 2013 0.5896 0.1221 2014 -0.2218 0.2416 2015 1.1778 0.1944 2016 0.1095 0.1200 2017 0.5596 0.3766 2018 0.2843 0.1874 2019 0.3216 0.5526 You use this data to answer the research question: are true population Amazon Returns greater than true population Microsoft Returns?

Monthly Sales 6267.19 7058.06 7119.5 7147.18 7198.52 7298.09 7325.7 7335.68 7355.97 7481.05 7490.23 7530.08 7616.09 7682.69 7684.14 7704.12 7704.98 7779.28 7798.23 7815.15 7844.16 7890.21 7977.6 7993.16 8021.03 8028.37 8068.86 8082.42 8096.17 8119.25 8129.21 8190.68 8255.28 8282.44 8376.31 8392.4 8400.95 8451.16 8456.66 8505.35 8539.25 8543.65 8573.05 8641.78 8667.48 8751.08 8777.97 8800.08 8888.65 8907.03 9096.87 9241.74 9411.68 9450.73 9484.62 9514.57 9521.4 9524.91 9733.44 10123.24 Given the company’s performance record and based on the empirical rule of normal distribution (also known as the 68%-95%-99.7% rule), what would be the lower bound of the range of sales values that contains 68% of the monthly sales? What would be the upper bound of the range of sales values that contains 68% of the monthly sales?

The table below represents the monthly unemployment rates in the US from January of 2005 through May of 2016. Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2005 5.3% 5.4% 5.2% 5.2% 5.1% 5.0% 5.0% 4.9% 5.0% 5.0% 5.0% 4.9% 2006 4.7% 4.8% 4.7% 4.7% 4.6% 4.6% 4.7% 4.7% 4.5% 4.4% 4.5% 4.4% 2007 4.6% 4.5% 4.4% 4.5% 4.4% 4.6% 4.7% 4.6% 4.7% 4.7% 4.7% 5.0% 2008 5.0% 4.9% 5.1% 5.0% 5.4% 5.6% 5.8% 6.1% 6.1% 6.5% 6.8% 7.3% 2009 7.8% 8.3% 8.7% 9.0% 9.4% 9.5% 9.5% 9.6% 9.8% 10.0% 9.9% 9.9% 2010 9.7% 9.8% 9.9% 9.9% 9.6% 9.4% 9.5% 9.5% 9.5% 9.5% 9.8% 9.4% 2011 9.1% 9.0% 9.0% 9.1% 9.0% 9.1% 9.0% 9.0% 9.0% 8.8% 8.6% 8.5% 2012 8.2% 8.3% 8.2% 8.2% 8.2% 8.2% 8.2% 8.1% 7.8% 7.8% 7.8% 7.9% 2013 7.9% 7.7% 7.5% 7.5% 7.5% 7.5% 7.3% 7.2%…

Quarterly Glass Container Demand Year 1990 1991 1992 First Qtr. 17,446. 17,748. 17,595. Second Qtr. 17,785. 19,360. 18,338. Third Qtr. 18,971. Fourth Qtr. 19140. 17,802. 19,413. 18,315. 18,083. Question: Quarterly sales (in thousands of units) of a product over the last two years have been 26, 29, 30, 27, 28, 32, 33, and 30. Plot the data and forecast for the next period using Winter's Seasonal Model. Now, assume sales for the ninth quarter turned out to be 32. Update your parameter estimates and forecast sales for period 10.

The number of adult Americans who smoke continues to drop. The table contains estimates of the percentages of adults (ages 1818 and over) who were smokers in the years between 1965 and 201715.and 201715. ???? ?Year � ??????? ?Smokers � 1965 41.94 1970 37.4 1974 37.1 1978 34.1 1980 33.2 1983 32.1 1985 30.1 1987 28.8 1990 25.5 1993 25.0 1995 24.7 1997 24.7 1999 23.5 2001 22.8 2002 22.5 2004 20.9 2006 20.8 2008 20.6 2010 19.3 2012 18.1 2014 16.8 2017 14.0   According to your regression line, how much did smoking decline per year during this period, on the average? Give your answer to three decimal places. average smoking decline:   percentage points

8. Magazine Sales The following table shows the income, measured in thousands of dollars, from sales of a certain magazine at the start of the given year.

Tuition Fees: The following table shows the average annual tuition and fees at private and public 4-year colleges and universities for the school years 2009-2010 through 2014-2015. Year                             Private                             Public 2009-2010                   31,448                              15,014 2010-2011                   32,617                              15,918 2011-2012                   33,674                              16,805 2012-2013                   35,074                              17,474 2013-2014                   36,193                              18,372 2014-2015                   37,385                              19,203   Using 1 for 2009-2010, 2 for 2010-2011, and so on, find the linear correlation coefficient and the equation of the least-squares line for the tuition and fees at private 4-year colleges and universities, based on the year.   Using 1 for 2009-2010, 2 for 2010-2011, and so on, find the linear correlation…

Suppose that a firm's sales were $3,750,000 five years ago and are $5,250,000 today. What was the geometric mean growth rate in sales over the past five years?