(a) Fill in the table to find the average rate of change and the percentage rate of change between successive data points. (Round your answers to the nearest whole number.) x f(x) Average rate of change Percentage rate of change 0 120 — — 1 202 82 68% 2 337     % 3 569     % 4 960     % 5 1612     % (b) Use your results to determine whether a linear model or an exponential model is appropriate, and use a calculator to find the appropriate model. (Round your terms to three decimal places.) f(x) = _________

Use Excel to develop a regression model to predict Annual Food Spending by Annual Household Income for those living in the Metro area only.     Suppose a household in the metro area has an annual income of $60,000.  Predict how much they spend on food per year.  Write your answer as a number and round to 2 decimal places.   Annual Food Spending ($) Annual Household Income           ($) Non mortgage household debt ($) Region:   1 = NE     2 = MW    3 = S       4 = W Location:   1 = Metro      2 = Outside Metro 8909 56697 23180 1 1 5684 35945 7052 1 1 10706 52687 16149 1 1 14112 74041 21839 1 1 13855 63182 18866 1 1 15619 79064 21899 1 1 2694 25981 8774 1 1 9127 57424 15766 1 1 13514 72045 27685 1 1 6314 38046 8545 1 1 7622 52408 28057 1 1 4322 41405 6998 1 1 3805 29684 4806 1 1 6674 49246 13592 1 1 7347 41491 4088 1 1 2911 26703 15876 1 1 8026 48753 16714 1 1 8567 55555 16783 1 1 10345 71483 21407 1 1 8694 50980 19114 1 1 8821 46403 7817 1 1…

Table 3 gives the market value of a luxury sedan (in dollars) xyears after its purchase. Find an exponential regression model of the form y= ab* for this data set. Estimate the purchase price of the sedan. Estimate the value of the sedan 10 years after its purchase. Round answers to the nearest dollar. TABLE 3 Value ($) 1 23,125 19,050 3 15,625 11,875 5 9,450 6 7,125 2.

QUESTION 7 Read the situation below and determine whether it is linear or exponential. If linear, find and interpret the rate of change. If exponential, find and interpret the percent change. Approximate if needed. The common ratio for the home prices in an Austin neighborhood is 1.08 every year for the past five years. For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). B IUS Paragraph Arial V 10pt ✓ ✓ A✔ AV T X Q 5 è E

. Fill in the "Years since 1970" column for the data to the right. Make a scatter plot in Excel of the data using Years since 1970 and Total Waste in Millions of Tons (Title your graph and label your axes appropriately). How would you best describe the trend? Add an exponential regression model to the data. Write the equation below. Is it a good fit? Explain how you know.  Based on the exponential model, what is the growth rate per year? Explain the meaning of the growth rate in the context of the data. Using the exponential model, make a prediction of how much plastic will be in landfills (and the ocean gyres) by Year Years since 1970 Total Waste in Millions of Tons 1970 0 249 1980 10 798 1985 15 1200 1990 20 1740 1995 25 2440 2000 30 3390 2005 35 4600 2010 40 6060 2015 45 7820     Do you think recycling alone will solve this problem (See Q11 and Q12)? What are some of the challenges in recycling plastic that might hinder the world from recycling all plastic…

Please answer part C