The following data were obtained for the growth of a tarsier populationintroduced into a new environment on the island of Bohol. Plot the data. Isthere a trend? Plot the change in population versus years elapsed after 1904.Formulate a discrete dynamical system that reasonably approximates thechange you have observed.Year1904191419341944195416501924Population 12527583012001750

Answered: The following data were obtained for…

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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Part D. Data from the Statistical Abstract of the United States provides a panel data collected at the state level in 1987 and 1990. These data are used to estimate MODEL 1: The variables used in the analysis are: infmort is number of deaths within the year per 1,000 live births Ipcinc is natural log of per capita income Ipopul is natural log of the population (the population is in thousands) Iphysic is natural log of physicians per 100,000 inhabitants d90 is year dummy for 1990. For questions 1 to 4 you can assume that MLR 1-4 are satisfied. A 1. Use the Stata output below to interpret ß3. Test at a 5% significance level whether the number of physicians per capita has any effect on infant mortality rate. reg infmort 1pcinc 1popul 1physic d90 Source Model Residual Total infmort infmort = Po + B₁lpcinc + B₂lpopul + ß3lphysic + 8₁ d90 + u SS 78.0499129 350.452136 428.502049 df . 19.5124782 4 97 3.61290862 Coef. Std. Err. MS 101 4.24259454 1pcinc -4.693354 1.638132 1popul - .0551426…
Question D and H please
The following data represent a portion of quarterly net sales (in $ millions) of Lowe's Companies, Inc., over five years. Net Sales 8861 10169 1 9984 Source: All data retrieved from Annual Reports for Lowe's Companies, Inc. Click here for the Excel Data File a-1. Estimate an exponential trend model with seasonal dummy variables. (Round your answers to 4 decimal places.) Year 2004 2004 2008 Intercept d1 d2 d3 t Variable Quarter 1 2 1 1 Se Exponential Trend A 1 Year 2 2004 3 2004 4 2004 5 2004 6 2005 7 2005 8 2005 9 2005 10 2006 11 2006 12 2006 13 2006 14 2007 15 2007 16 17 2007 2007 2008 18 19 2008 2008 20 21 2008 B Quarter 123-AWNA W NAWN-AW23 4 4 3 4 4 4 C Net Sales 8861 10169 9064 8550 9913 11929 10592 10808 11921 13389 11211 10406 12172 14167 11565 10379 12009 14509 11728 9984
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…
Take a look at this reference sheet: http://bit.ly/2yGbKiB The scatter plot shows the number of hits and number of home runs for $$20 baseball players who had at least $$10 hits last season. The table shows the values for $$15 of those players. The model represented by y=0.15x−1.5 is graphed with the scatter plot. Player B was the player who most outperformed the prediction. How many hits did Player B have last season?
Marine scientists use a linear model for the speed c of sound in the oceans as a function of the salinity S at a fixed depth and temperature.† In the following table, one scientist recorded data for c and S at a depth of 500 meters and a temperature of 15 degrees Celsius. Here c is measured in meters per second and S in parts per thousand. Salinity S Sound speed c 35.0 1515.36 35.6 1516.08 36.2 1516.80 36.8 1517.62 37.4 1518.24 (a) Looking over the table, the scientist realizes that one of the entries for sound speed is in error. Which entry is it?S = What is the correct speed?c = m/sec(b) Explain in practical terms the meaning of the slope of the linear model for c in terms of S at the given depth and temperature. The slope means that, at the given depth and temperature, for an increase in salinity of part per thousand the speed of sound increases by meters per second. (c) Calculate c(38.2).c(38.2) = m/secExplain in practical terms what it means. This means…
Using exponential smoothing, calculate the forecasts for months 2, 3, 4, 5, and 6. Thesmoothing constant is 0.2, and the old forecast for month 1 is 245.
Need a Net balance graph for the given data

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