The table shows the population of a certain city for selected years between 1950 and 2003.Years after 1950 | Population12,421143,112290,089203040375,29750445,05255471,126Use the logistic regression function on your calculator to determine the logistic equation that bestfits the data.499,107.3494,193.8A) P =-1+ 23.521e-0.0981tB) Р1+ 24.126e-0.1084t482,549.61 + 22.095e-0.1132t478,549.6C) P =D) P =-1+ 21.095e-0.1209t

Step-by-step procedure to find the logistic equation using TI-84 calculator: Click on STAT >…

Answered: The table shows the population of a…

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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Better GDP model? Consider again the post-1950 trendin U.S. GDP we examined in Exercise 11. Here are aregression and (on the next page) a residual plot when weuse the log of GDP in the model. Is this a better modelfor GDP? Explain. Dependent variable is: logGDPR-squared = 98.9, s = 0.13185Variable CoefficientIntercept 5.6579766Year-1950 0.070734456
Use Regression to Find and Use an Exponential Model to answer the questions: The numbers of polio cases in the world are shown in the table for various years. Year Number of Polio Cases (thousands) 350 138 1988 1992 1996 36 2000 4 2005 3.2 2007 1.3 Let f(t) be the number of polio cases in the world t years since 1980. The exponential regression equation for the data above is: f(t) = 3837.25(0.74)* Predict the number of polio cases in 2009. Hint Predict in which year there will be 1 case of polio. Find the approximate half-life of the number of polio cases. Round your answer to one decimal place. years
By what percentage is salary predicted to increase if ros increases by 50 points? Does ros have a practically large effect on salary?
Can you solve part A please
Q8. Are rent rates influenced by the student population in a college town? Let rent be the average monthly rent paid on rental units in a college town in the United States. Let pop denote the total city population, avginc the average city income, and pctstu the student population as a percentage of the total population. One model to test for a relationship is log(rent) = 0.03048 + 0.5 * log(pop) +0.673 log(avginc) + 0.0046 pctstu (.844) (.039) (.081) (.0028) i) State the null hypothesis that the percentage of students relative to the population has no ceteris paribus effect on monthly rents. State the alternative that there is an effect. What signs do you expect for B₁ and ₂ ? The equation estimated for 64 college towns is log(rent) = 0.03048 + 0.5 * log(pop) + 0.673 log(avginc) + 0.0045 pctstu (.844) (.039) (.081) (.0017) Standard errors are given in the parentheses. test the null hypothesis H_0 that "10% ceteris paribus increase in population is associated with about a 6.6% increase…
Write an exponential regression equation for the following data, rounding all coefficients to the nearest thousandth.
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 58 years. Is the result within 5 years of the actual Best Actor winner, whose age was 44 years? Best Actress Best Actor27 4129 3529 3658 4430 5131 4745 6228 4961 4022 5843 4557 35 Find the equation of the regression line. Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.) The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 58 years is Round to the nearest whole number as needed.) Is the result within 5 years of the actual Best Actor winner, whose age was 44 years? years old V the predicted age is V the actual winner's age.
Run a regression of the logarithm of average hourly earnings, ln(wage) on educ, exper, exper2, female, married and numdep. Discuss the statistical significance of each of the slope coefficients and interpret the coefficient on female and married.
answer all the questions
Solve it correctly please. I will give rating.
ed es regression model, with the associated p-values shown in parentheses. Variable Intercept X Coefficients Intercept Slope a. Test for the significance of the intercept and the slope coefficients at the 5% level in both models. LPM Logistic -0.75 -5.50 (0.03) (0.06) 0.05 0.32 (0.06) (0.07) x = 23 x = 21 b. What is the predicted probability implied by the linear probability model for x = 23 and x = 21? Note; Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places. Report the probability between 0 and 1 (not in %). ŷ x = 23 x = 21 LPM Check my work Logistic c. What is the predicted probability implied by the logistic regression model for x = 23 and x = 21? ŷ Note: Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places. Report the probability between 0 and 1 (not in %).
When using the exponentially weighted moving average for purposes of forecasting rather than smoothing, Group of answer choices the current smoothed value becomes the forecast. the previous smoothed value becomes the forecast. the next smoothed value becomes the forecast. None of the above.

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