**Graph-based Quadratic Regression Analysis****Instructions:** Use the data shown in the graph to write a quadratic regression equation. Then predict the box office revenue in 2013. Let $ x $ represent the number of years since 2000.**Graph Description:**- **Title:** Box Office Revenue- **Y-Axis (Vertical):** "Millions of dollars" ranging from 27 to 32.- **X-Axis (Horizontal):** "Years" ranging from 2004 to 2009.- **Data Points:** - Year 2004: Box office revenue is \$28.9 million. - Year 2005: Box office revenue is \$28.7 million. - Year 2007: Box office revenue is \$29.4 million. - Year 2008: Box office revenue is \$30.8 million.The graph shows the movement in box office revenue over time, with a slight dip in 2005 followed by a gradual increase through to 2008. The trend and data from the graph need to be utilized to form a quadratic regression equation. This equation can then project future box office revenue, specifically to predict for the year 2013.**Objective:** By analyzing the trend in the graph, derive a quadratic equation that best fits the presented data points and use it to forecast the box office revenue for subsequent years.

From the provided graph, which represents the year (since 2000) on the x-axis and the revenue (in…

Answered: Use the data shown in the graph to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Use the data shown in the graph to write a quadratic regression equation. Then predict the box office revenue in 2013. Let x represent the number of years since 2000. Millions of dollars Box office revenue 32- 31- 30+ 29- 28- 27+ 2004 2005 2006 2007 2008 2009 Year 28.9 28.7 29.4 30.8