Find an exponential regression for the data above: Movies The table shows the average price of a movie ticket in the United States from 2001 to 2010.Year2001 2002 20032004 2005 20062007 2008 20092010Price ($)5.665.816.036.216.41 6.556.887.187.507.89

Given, Year Price($) 2001 5.66 2002 5.81 2003 6.03 2004 6.21 2005 6.41 2006 6.55…

Answered: Find an exponential regression for the…

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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A red maple sapling was 3 feet tall when planted in 2010. Six years later, the tree was 18 feet tall. The growth rate of the tree is constant over time. Find a linear model for the height H (in ft) of the red maple t years after 2010. Let t = 0 represent 2010. H = What is the expected height (in ft) of the red maple in 2020? ft
Draw the regression line for the following equation: Y = -3 + (1) X Show your calculation for a low and high value on the predictor value.
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-0.96 b=35.944 r2=0.736164 r=-0.858 Use this to predict the number of situps a person who watches 10.5 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-1.131 b=37.124 r2=0.398161 r=-0.631 Use this to predict the number of situps a person who watches 6.5 hours of TV can do (to one decimal place)
For the data given in Table, find the equation to the best fitting exponential curve of the form y = ab 1 2 3 45 22 8 3 X y 1 0.35
Table 9.2 Average Returns for Bonds 1950 to 1959 1960 to 1969 1970 to 1979 1980 to 1989 1990 to 1999 2000 to 2009 1950 to 1959 1960 to 1969 1970 to 1979 1980 to 1989 1990 to 1999 2000 to 2009 Average Average Average Table 9.4 Annual Standard Deviation for T-Bills Decade 1950s 1960s 1970s 1980s 1990s 2000s 8.2 Average Average 4.5 2.9 Average T-Bills 2.3% 4.2 6.4 Use the tables above to calculate the coefficient of variation of the risk-return relatic (Round your answers to 2 decimal places.) Cov 0.71 T-Bills 0.9% 1.4 2.2 2.5 1.3 2.1
None
Perform Linear Regression Analysis by Octave (or MatLab) software using formulas for calculation of required parameters. Make the graph y versus x values and ytted VS. X on the same plot. x Answers: 0.05 0.04 35.7210 23.3960 7 0.03 13.3970 X S 0.02 6.0310 0.01 1.5190 0 0.0000
Use the data in the accompanying table to find the logarithmic regression equation to the nearest tenth
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-1.063 b=24.198 r2=0.559504 r=-0.748 Use this to predict the number of situps a person who watches 7 hours of TV can do (to one decimal place).
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and the number of sit-ups a person can do (y). The results were: y = a+bx b = -0.89 a = 23.49 r² = 0.6519 r = -0.8074 a. If a person watches 7 hours of television a day, predict how many sit-ups he can do. b. If a person can do 4 sit ups, predict how many hours of television a day they watch. hours
How many independent variables are involved in a multiple regression equation? a. One b. Zero c. Two or more d. At least three

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