Suppose the following data shows a company's annual revenue from 2008 (period 1) to 2017 (period 10) in billions of dollars. O Annual Revenue ($ billions) Year Period Annual Revenue ($ billions) 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 100 80 60 40- 20- 1201 (a) Construct a time-series plot. 1201 100+ 80 60- 1 40 2 20 3 4 5 6 7 8 9 10 Annual Revenue ($ billions) $22.80 $24.65 $28.32 $37.91 $50.18 $54.50 0- 0 1 2 3 4 5 6 7 8 9 10 11 Period $66.00 $73.99 $90.27 $110.86 0- 0 1 2 3 4 5 6 7 8 9 10 11 Period What type of pattern exists? The time series plot shows a horizontal pattern. O The time series plot indicates a linear pattern. The time series plot shows a cyclical pattern. O The time series plot indicates curvature in the data. ✓ SO O @ Annual Revenue ($ billions) Annual Revenue ($ billions) 120T 100- 80- 60 40 20 0 0 1 2 3 4 5 6 7 8 9 10 11 Period 120- 100- 80- 60 40- 20 0- 0 1 2 3 4 5 6 7 8 9 10 11 Period (b) Develop a quadratic trend equation. (Round your numerical values to four decimal places.) T= 20.4207+ 1.2147t+0.7539² x n @

In agricultural economics, a “supply response function” describes how supply of a commodity responds to changes in the price of that commodity.  Year  Seeded Area (hectares)  Harvested Area (hectares)  Average Yield (kg per ha)  Production (tonnes)  Price per Tonne ($/tonne)  1966 1,317,000 1,317,000 1,630 2,150,000 65 1967 1,424,000 1,424,000 1,720 2,449,000 60 1968 1,376,000 1,376,000 1,800 2,477,000 48 1969 1,012,000 1,012,000 1,720 1,742,000 46 1970 567,000 567,000 1,465 830,000 52 1971 1,019,000 1,019,000 1,975 2,014,000 50 1972 1,052,000 1,052,000 1,785 1,878,000 68 1973 1,214,000 1,214,000 1,725 2,095,000 158 1974 1,133,000 1,133,000 1,415 1,605,000 147 1975 1,255,000 1,255,000 1,690 2,123,000 130 1976 1,538,000 1,538,000 1,820 2,803,000 103 1977 1,295,000 1,295,000 2,125 2,749,000 98 1978 1,376,000 1,376,000 2,055 2,831,000 133 1979 1,214,000 1,214,000 1,680 2,041,000 170 1980 1,336,000 1,336,000 1,425 1,905,000 203 1981 1,577,900 1,577,900…

Should this table be graphed as linear,quadratic or exponential?

II.

The graph show       ["", "", "", "", ""]  correlation.  When the world population increases, we would expect the Atmospheric Carbon Dioxide levels to       ["", "", ""]  .   When the carbon dioxide levels were at 390 parts per million (ppm), the world population was about       ["", "", ""]  millions.

Based on the following graph, what is the year when the largest decrease in GDP took place ? GDP (change YoY) 6% 5% 4% 4% 3% 3% 3% 3% 2% 2% 1% -1% -1% -8% 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010o 2011 2012 2013 2009 2001 2005 2007

Use regression analysis on deseasonalized demand to forecast demand in summer 2013. Forecast for summer 2023 ______