please assist with the missing parts in question 7.
excel with information: https://docs.google.com/spreadsheets/d/11SKcwiD544H96Z83QcXcXCHh74K94Rfz_6z0aEQ3U6A/edit?usp=sharing
U. S. Civilian Labor Force Year Labor ( thousands) Labor Force Year Force 2007 153 , 918 2012 155 , 628 2008 154, 655 2013 155, 151 2009 153, 111 2010 153, 650 2014 156, 238 2015 157, 957 2011 153,995 2016 159, 640 Click here for the Excel Data File (a) Make a line graph of the U.S. civilian labor force data. Line Graph A Line Graph B Line Graph C Line Graph D US Civilian Labor Force (2007-2016) US Civilian Labor Force (2007-2016) US Civilian Labor Force (2007-2016) US Civilian Labor Force (2007-2016) 162000 y = 584.14x + 152182 162000 y = 584.14x + 153250 162000 y = 584.14x + 154418 162000 y =122.45x2 - 762.86x + 155657 160000 160000 y = 122.45x2 - 762.86x + 154876 y = 122.45x2 - 762.86x + 155944 160000 y = 122.45x2 - 762.86x + 157112 160000 y = 584.14x + 152963 158000 158000 Y = 1544540.0037x y = 1529990.0037x y = 1522180.0037x y = 1532860.0037x 158000 158000 156000 156000 156000 156000 154000 154000 154000 154000 152000 152000 152000 152000 150000 150000 150000 150000 148000 148000 148000 2007 20 148000 2008 2009 2010 2011 2012 2013 2014 2015 2016 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2007 2008 2009 2010 2011 2012 2013 2014 4 2015 2016 2007 20 2009 2010 2011 2012 2013 2 2014 2015 2016 Line Graph AC Line Graph B Line Graph C Line Graph D possible causes. (b) Describe the trend (if any) and discuss Trend is positive . There seems to be an increase in the rate of growth over the past few years. (c) Fit three trend models: linear, exponential, and quadratic. Which model would offer the most believable forecasts? (You may select more than one answer. Click the box with a check mark for the correct answer and double click to empty the box for the wrong answer.) Linear Quadratic ExponentialLine Graph A Line Graph B Line Graph C Line Graph D US Civilian Labor Force (2007-2016) US Civilian Labor Force (2007-2016) US Civilian Labor Force (2007-2016) 162000 US Civilian Labor Force (2007-2016) y = 584.14x + 152182 162000 y = 584.14x + 153250 162000 160000 160000 y = 584.14x + 154418 162000 y = 122.45x2 - 762.86x + 155657 160000 160000 y = 584.14x + 152963 y = 122.45x2 - 762.86x + 154876 y= 122.45x2 - 762.86x + 155944 y = 122.45x2 - 762.86x + 157112 158000 158000 158000 y = 1544540.0037x y = 15221820.0037x y = 1532860.0037x 158000 y = 1529990.0037x 156000 156000 15600 156000 154000 154000 154000 154000 152000 152000 152000 152000 150000 150000 15000 150000 148000 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 148000 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 148000 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 148000 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Line Graph A Line Graph B Line Graph C Line Graph D possible causes. (b) Describe the trend (if any) and discuss Trend is positive . There seems to be an |increase @ in the rate of growth over the past few years. (c) Fit three trend models: linear, exponential, and quadratic. Which model would offer the most believable forecasts? (You may select more than one answer. Click the box with a check mark for the correct answer and double click to empty the box for the wrong answer.) Linear O Quadratic O Exponential whole number.) (d) Make forecasts using the following fitted trend models for years 2017-2019. (Round your answers to the nearest Linear Quadratic Exponential 11 158607.54 12 159191. 68 13 159775 .82
