The popularity of fads and fashions often decays exponentially. One example is ticket sales for a popular movie. The table shows the total money spent

Lewis Harvey

Lewis Harvey

Answered question

2021-05-12

The popularity of fads and fashions often decays exponentially. One example is ticket sales for a popular movie. The table shows the total money spent per weekend on tickets in the United States and Canada for the movie The Da Vinci Code. $$Weekend in 2006TicketSales(millions)May 19—May 2177.1May 26—May 2834.0June 2—June 418.6June 9—June 1110.4June 16—June 185.3June 23—June 254.1June 30—July 22.3$ a) Use a graphing calculator to create a scatter plot of the data. b) Draw a quadratic curve of best fit. - Press STAT, cursor over to display the CALC menu, and select 5:QuadReg. - Press VARS, and cursor over to display the Y-VARS menu. Select 1:Function and then select 1:Y1. - Press ENTER to get the QuadReg screen, and press GRAPH. c) Draw an exponential curve of best fit. - Press STAT, cursor over to display the CALC menu, and select 0:ExpReg. - Press VARS, and cursor over to display the Y-VARS menu. Select 1:Function and then select 2:Y2. - Press ENTER to get the ExpReg screen, and press GRAPH. d) Examine the two curves. Which curve of best fit best models the data?

Answer & Explanation

SabadisO

SabadisO

Skilled2021-05-13Added 108 answers

a) Enter the weekend numbers on Li (where May 19-May 21 is week 1, and so on) and the ticket sales (in million dollars) on 12.
b) and c) Do as what the instruction says and you will obtain the two graphs.
d) The exponential model is the better fit becatise the ticket sales decrease over time.

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