A statistical program is recommended.Suppose the following data shows a company's annual revenue from 2008 (period 1) to 2017 (period 10) in billions of dollars.Year Period200820092010201120122013201420152016201712345678910Annual Revenue($ billions)$20.80$24.65$28.32$37.91$50.18$54.50$66.00$75.99$90.27$110.86 (b) Develop a quadratic trend equation. (Round your numerical values to four decimal places.)Tt=

Here annual revenue depend on the year so annual revenue is dependent variable (Y) and year is…

Answered: A statistical program is recommended.…

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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year Income ($) B P1994 6036 85.1 20.41995 6113 87.8 20.21996 6271 88.9 21.31997 6378 94.5 19.91998 6727 99.9 181999 7027 99.5 19.92000 7280 104.2 22.22001 7513 106.5 22.32002 7728 109.7 23.42003 7891 110.8 26.22004 8134 113.7 27.12005 8322 113 292006 8562 116 33.52007 9042 108.7 42.82008 8867 115.4 35.62009 8944 118.9 32.22010 9175 127.4 33.72011 9381 123.5 34.42012 9735 117.9 48.52013 9829 105.4 66.12014 9722 103.2 62.42015 9769 104.2 58.62016 9725 103.7 56.72017 9930 105.7 55.52018 10419 105.5 57.32019 10625 106.5 53.72020 10905 107.3 52.6 Make a forecast of Mr. X's Income for the next five years Make forecast of income for the given values of B =110 and P = 55
year Income (S) B 1994 6036 85.1 20.4 1995 6113 87.8 20.2 Make a forecast of Mr. X's Income for the next five years 1996 6271 88.9 21.3 Make forecast of income for the given values of B =110 and P= 55 1997 6378 94.5 19.9 1998 6727 99.9 18 1999 7027 99.5 19.9 2000 7280 104.2 22.2 2001 7513 106.5 22.3 2002 7728 109.7 23.4 2003 7891 110.8 26.2 2004 8134 113.7 27.1 2005 8322 113 29 2006 8562 116 33.5 2007 9042 108.7 42.8 2008 8867 115.4 35.6 2009 8944 118.9 32.2 2010 9175 127.4 33.7 2011 9381 123.5 34.4 2012 9735 117.9 48.5 2013 9829 105.4 66.1 2014 9722 103.2 62.4 2015 9769 104.2 58.6 2016 9725 103.7 56.7 2017 9930 105.7 55.5 2018 10419 105.5 57.3 2019 10625 106.5 53.7 2020 10905 107.3 52.6
Your Question: A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. The data is below: Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14. Using excel, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to…
Q3. Consider the following data. Period Rate of Return (%) 1 -6.0 2 -8.0 3 -4.0 4 2.0 5 5.4 What is the mean growth rate over these five periods?
Suppose that a firm's sales were $3,750,000 five years ago and are $5,250,000 today. What was the geometric mean growth rate in sales over the past five years?
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
Can I please get some help. Thank you!

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