9.Given the set of dataYearAnimals19792198912199933720061243a.Create a scatter plot of the data and determine which model (linear, exponential, logarithmic, orquadratic) would be most appropriate. Why did you pick that particular model? Let x be the number ofyears since 1979.Appropriate Model:Why?b. Find the curve of best fit on TI-84+ (based on appropriate model), Round to three significant digits.Model:C. Graph the curve and the scatter plot on your graphing calculator. Insert a picture of your calculatorscreen.d. Use your model to predict the number of animals in 2000. What type of prediction is this?

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Answered: 9. Given the set of data: Year Animals…

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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Consider the following data: 4 5 7 8. P(X = x) 0.2 0.2 0.1 0.1 0.4 Step 3 of 5: Find the standard devlation. Round your answer to one decimal place. Previous Step Answer(s): Answer 4 = E(x) = 6.3 How to enter your answer o? = 2.6 © 2021 Hawkes Learning
You are given the following data: X= [1.5, 10.22, 2.4, 5.8, 0.43] What would you choose as the parameter if you were to model this as fe a lognormal distribution? (Enter your answer with up to two digits after the decimal point).
feyeb St Ral 5. Use regression to determine an exponential model for the following data. Round all parameters to 3 decimals. 15 20 22 10 d 140 250 410 780 1300 1670 CE OTTAS
gn Layout ab as: On 11 References A A Aa X₂ XⓇ A- Dv A Font Mailings Review A 1- V Accessibility: Good to go V View Help O Search E Paragraph V H Month-Year F For the data in the following table, compute the simple exponential smoothing forecast of retail gas prices with a=0.4. Determine the MSE. Round your answer to four decimal places. Gas Price Jul-14 $3.688 Aug-14 $3.565 Sep-14 $3.484 Oct-14 $3.255 Nov-14 $2.997 Dec-14 $2.632 Jan-15 $2.208 Feb-15 $2.301 Mar-15 $2.546 Apr-15 $2.555 Normal Matthew Negre No Spacing Styles Focus Head BA
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…
15. For the data set below, you are given three graphs: The graph of the original data, the data on a log- linear plot, and on a log-log plot. 0.1 Data set 1 X 2 4 Chart Area 6892 10 12 у 0.08 0.12 0.18 0.26 0.35 0.53 Data set-log-linear scale 0.6 Linear 04 0.1 0 01 0 . 2 Data set 1- original data . 6 * Data set 1-log-log scale . 12 power Circle your answer and give reasons why you chose that ans answer. 100 Using these three plots, determine which type of model would be the best type: exponential. 14
Which of the following applies the concept of “layering” to increase the sensitivity of a research analysis? Group of answer choices a. Chi-square Contingency Tables b. Binary Logistic Regression c. Regression d. Answers 1 and 2 only e. Answers 1, 2 and 3

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