design a linear model for this data and jusify this mode(state why it is better to use this model than others
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design a linear model for this data and jusify this
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- stat 3aThe total number of thousands of tons of coal produced per year over a 10-year period for a certain region is provided in the accompanying dataset. Use double exponential smoothing to determine which pairs of values for a and me MAD for this dataset a=0.2, p=0.9,-0.5, -0.2; a=1, p=0.6 Click the icon to view the coal production data First find the MAD for each pair of values, a and B (Type integers or decimals rounded to two decimal places as needed.) (1 B MAD 02 0.9 0.5 0.2 1 0.6 Which pair of values for a and p minimize MAD for this dataset? (Type integers or decimals. Do not round.)/books/9780136970736/pdf2htmlex/index.html#page_136 35 30 ARRAY 25 20 15 10 5 How You Will Spend Your Average Life Expectancy of 78 Years Sleeping Working Watching TV Doing Housework Pr Eating Socializing Shopping Source: U.S. Bureau of Labor Statistics According to the U.S. Bureau of Labor Statistics, you will devote 37 years to sleeping and watching TV. The number of years sleeping will exceed the number of years watching TV by 19. Over your lifetime, how many years will you spend on each of these activities? (Exercises 3-4 are based on the graph at the bottom-right of the previous page.) 3. The median yearly salary of a general manager with a bachelor's degree or higher is $31,000 less than twice that of a general manager with just a high school diploma. Combined, two managers with each of these educational attainments earn $149,300. Find the median yearly salary of general managers with each of these levels of education. The bar graph shows median yearly earnings of full-time…
- a) Find the value of X, Y, Z b) Calculate the composite Index for the cost of making the food in the year 2017 based on the year 2015.Year Consumer price index 2001 0.9576707944 2001 1.043445267 2001 0.1314307172 2001 -0.2812675892 2002 0.3572771719 2002 1.086752857 2002 0.4263206673 2002 0.3137689184 2003 1.011959522 2003 0.364298725 2003 0.4900181488 2003 0.01806032147 2004 0.9028530155 2004 1.431639227 2004 0.352858151 2004 0.5977496484 2005 0.6291506466 2005 1.337269885 2005 1.216795201 2005 0.5079580088 2006 0.539083558 2006 1.692359249 2006 0.5602240896 2006 -0.8520399803 2007 1.019170385 2007 1.917329089 2007 0.2759287112 2007 1.711214555 2008 1.136773642 2008 2.195344656 2008 1.163055346 2008 -2.828529429 2009 -0.497633075 2009 1.060302337 2009 0.6790719816 2009 0.2011885888 2010 0.4014150536 2010 0.4750721517 2010 0.09325049836 2010 0.2949163207 2011 1.264822375 2011 1.743310892 2011 0.4085179843 2011 -0.1520557705 2012 0.7956386559 2012 0.8275317381 2012 0.219328148 2012 0.03604046954 2013 0.5903298758 2013…Evaluat T=1
- LOG Take Test Unit 3 Test d.com/webapps/assessment/take/launch.jsp?course_assessment_id=_415098_1&course_id=_309271_1&new.... Remaining Time: 4 hours, 44 minutes, 03 seconds. Qu Browse Local Files QUESTION 13 Status: A state lottery draws six numbers between 1 and 63. If you wanted to buy every combination possible, how many combinations are there? QUESTION 14 Match each scenario with the counting rule that would be used to solve it. 5 point 4 poinCalculate the average lifetime ( usage in hours) of Brand X battery and Brand Y batteryRead the box "The Return to Education and the Gender Gap." The Return to Education and the Gender Gap Dependent variable: logarithm of Hourly Earnings. * Regressor Years of education Female Female x Years of education Potential experience Potential experience² Midwest South West Intercept (1) 0.1035** (0.0009) 1.533" (0.012) 0.208 (2) 0.1050** (0.0009) -0.263** (0.004) 1.629" (0.012) 0.1001" (0.0011) 0.258 -0.432** (0.024) 0.0121" (0.0017) 1.697** (0.016) (4) 0.1013** (0.0012) 0.258 -0.451" (0.024) 0.0134" (0.0017) 0.0136** (0.0012) -0.000184** (0.000021) -0.095" (0.006) -0.092** (0.006) -0.028"* (0.007) 1.328" R² The sample size is 52,970 observations for each regression. Female is an indicator variable that equals 1 for women and 0 for men. Midwest, South, and West are indicator variables denoting the region of the United States (0.023) 0.267