The following are assumptions ofthe logistic model:O a. No immigration or emigrationO b. 1>1О сNo population structure (e.g., age-structure)O d. A and C onlyОе.All of the above

Answered: The following are assumptions of the…

The following are assumptions of the logistic model: No immigration or emigration а. O b. 1>1 No population structure (e.g., age- С. structure) O d. A and C only О е. All of the above

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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Requesting answers for d, e and f. 1. The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year’s usage and temperatures are in the following table: Month Temp Usage/1000 Month Temp Usage/1000 Jan 21 185.79 Jul 68 621.55 Feb 24 214.47 Aug 74 675.06 Mar 32 288.03 Sept 62 562.03 Apr 47 424.84 Oct 50 452.93 May 50 454.58 Nov 41 369.95 Jun 59 539.03 Dec 30 273.98 d. Suppose that the monthly average temperature is 47 F. Calculate the fitted value of y and the corresponding residual. e. Test for significance of regression using α=0.01 (Use ANOVA). f. Calculate the r2 of the model and also find a 99% CI for β1.
A nkcschools.instructure.com A population of 20 rabbits is introduced into an environment with a carrying capacity of 500 rabbits. The rabbit population increases by 10% every month. Make a logistic model that gives the number of rabbits N after t months. Use t as your variable and round r to three decimal places. Edit View Insert Format Tools Table 12pt v Paragraph v BIUA v ev T? v ...
Q2. You collected 500 weeks of data (2500 days total). Based on that you find Tuesday's mean return is 12 bps. Mean return of all days is 2 bps. Stdev across all days is 100 bps. There is no noticeable difference b/w Tuesday stdev vs other weekdays' stdev. Based on q1c find D Q1c. what is the mean log return and stdev of log return over one year period and four year period (assuming 252 trading days per year)? Q1d. based on Q1c what is the probably of losing money (negative log return) or doubling your money (total log return = ln(2)) over 1 year and 4 year period?
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
Q1. 807 people were randomly selected and data was collected on whether or not they smoked cigarettes in the past 12 months (smoked = 1 if they did, smoked = 0 otherwise), their years of schooling (educ), the natural log of their annual income in dollars (In[income]), age in years (age), and race (white = 1 if white, white = 0 otherwise). The following logit models were estimated and the results are summarized in the table below. The numbers in parentheses are the standard errors. (1) logit (2) logit (3) sample average constant 1.43 0.02 (0.40) (1.06) educ -0.10 -0.11 12 (0.03) (0.03) In[income] 0.16 10.8 (0.11) age -0.02 -0.02 41 (0.0004) | (0.0004) white 0.02 0.7 (0.23) log-likelihood -525 -524 In column (2), the regression equation for smokeď* is: smoked* = x'3 + e = B1 + B2educ + B3 In[income] + B4age + B5white + e In column (3), the sample averages of the regressors are listed. For example, 12 is the sample average of educ, 10.8 is the average of In[income], etc. (a) Using the…
G FTSE 100 6. Consider the OLS estimator of a model to explain the stock prices of observations from 2012 m1 to 2021 m 12, all variables are calculated company using 120 at the end of the month t log (stock +) 0.86 + 0.86 + 0.54 log (profit 6) - 0.65 log (research t)-1.34 log (marketing 6) (6.1) (1.12) (0.24) (0.30) (0.12) 3 n = 120, R² = 0.34 SSR = 1.29 F = 3.99 : / " 116 where stuck t the › in millions of stock price in GBP (British Sterling) profit & (the profit before tax GBP), research & (expenditure on research and development), and marketing t marketing) are measured in parentheses, SSR is the Sum of Squared Residuals, and the I statistic for the significance GBP. Standard errors are reported in (expenditure on millions of of the regression is $ provided. lat What is the interpretation of the coefficient on as you would expect? Explain your answer. log (profit t) 7 Is the sign of coefficient measured in thousands of GBP? Explain your answer. Hint: Would your interpretation…