Concept explainers
The Lotka-Volterra equations described in Sec. 28.2 have been refined to include additional factors that impact predator-prey dynamics. For example, over and above predation, prey population can be limited by other factors such as space. Space limitation can be incorporated into the model as a carrying capacity (recall the logistic model described in Prob. 28.16) as in
where
(a) Employ a very large value of
(b) Compare (a) with the more realistic carrying capacity of
Want to see the full answer?
Check out a sample textbook solutionChapter 28 Solutions
Numerical Methods for Engineers
- In Exercises 7-10, find a linear equation that has the same solution set as the given equation (possibly with some restrictions on the variables). 10.arrow_forwardRecall that the general form of a logistic equation for a population is given by P(t)=c1+aebt , such that the initial population at time t=0 is P(0)=P0. Show algebraically that cP(t)P(t)=cP0P0ebt .arrow_forwardAssume there is a certain population of fish in a pond whose growth is described by the logistic equation. It is estimated that the carrying capacity for the pond is 1600 fish. Absent constraints, the population would grow by 230% per year.arrow_forward
- The manager of Collins Import Autos believes the number of cars sold in a day (Q) depends on two factors: (1) the number of hours the dealership is open (H) and (2) the number of salespersons working that day (S). After collecting data for two months (53 days), the manager estimates the following log-linear model: Explain how to transform this log-linear model into a linear form that can be estimated using multiple regression analysis. The computer output for the multiple regression analysis is shown below: How do you interpret coefficients band c? If the dealership increases the number of salespersons by 20 percent, what will be the percentage increase in daily sales? Test the overall model for statistical significance at the 5 percent significance level. What percent of the total variation in daily auto sales is explained by this equation? What could you suggest to increase this percentage? Test the intercept for statistical significance at the 5 percent level…arrow_forwardConsider a lake that is stocked with walleye pike and that the population of pike is governed by the logistic equation (check the image) where time is measure in days and P in thousands of fish. For part a I assumed that I needed to subtract 10 from everything, and then I drew my phase line (part b). my answers for this didnt make a lot of sense and I think that I did it wrong. Part D is the same as a and I think that I subtract .02P from everything. can you please go over this to make sure that it works?arrow_forwardTable 4.18 shows estimated effects for a fitted logistic regression model with squamous cell esophageal cancer (1 = yes, 0 = no) as the response variable Y. Smoking status (S) equals 1 for at least one pack per day and 0 other- wise, alcohol consumption (A) equals the average number of alcoholic drinks consumed per day, and race (R) equals 1 for blacks and 0 for whites. A. To describe the race-by-smoking interaction, construct the prediction equation when R = 1 and again when R = 0. Find the fitted YS conditional odds ratio for each case. Similarly, construct the prediction equation when S = 1 and again when S = 0. Find the fitted YR conditional odds ratio for each case. Note that, for each association, the coefficient of the cross-product term is the difference between the log odds ratios at the two fixed levels for the other variable. B. In Table 4.18, explain what the coefficients of R and S represent, for the coding as given above. What hypotheses do the P -values refer to for…arrow_forward
- Below gi ves the data concerning the dependent variable Default to predict if a customer will default or not based on the independent variables Price of Home (in thousands) and Purchase, which equals 1 if the customer has owned a home before and 0 if this is their first home. Find the Logit(125) when the purchase price is 125 (in thousands) and this is their first house purchase. Give answer to 4 decimal places Parameter Estimates Term Intercept Price of Home First Purchase Estimate -3.45926 0.70935 4.25943 Chi Square 5.09 5.69 6.34 Prob>ChiSq 0.0218 0,0201 0.0136arrow_forwardHave you ever been on an airplane and heard the pilot say that the plane would be a little late because it would be flying into a strong headwind or that even though the plane was taking off a bit late, you would be making up time because you would be flying with a tailwind? This problem asks you to analyze such a situation. You have the following data: A plane flying at its maximum speed can go 230 miles per hour with a tailwind or 150 miles per hour into a headwind. What is the wind speed (in miles per hour)? What would be the maximum speed of the plane (in miles per hour) if there were no wind?arrow_forward4. The manager of Collins Import Autos believes the number of cars sold in a day (Q) depends on two factors: (1) the number of hours the dealership is open (H) and (2) the number of salespersons working that day (S). After collecting data for two months (53 days), the manager estimates the following log-linear model: Q=aH*Sc a. Explain how to transform this log-linear model into a linear form that can be estimated using multiple regression analysis. The computer output for the multiple regression analysis is shown below: DEPENDENT VARIABLE: LNQ OBSERVATIONS: 53 VARIABLE INTERCEPT LNH LNS PARAMETER ESTIMATE 0.9162 0.3517 0.2550 R-SQUARE 0.5452 STANDARD ERROR 0.2413 0.1021 0.0785 F-RATIO 29.97 T-RATIO 3.80 3.44 3.25 P 0 P-VALUE 0.0004 0.0012 0.0021 b. How do you interpret coefficients b and c? If the dealership increases the number of salespersons by 20 percent, what will be the percentage increase in daily sales? c. Test the overall model for statistical significance at the 5 percent…arrow_forward
- Please please answer both a and b Thank you so mucharrow_forwardConsider the following example of the logistic equation. This equation is used as a simple model for the growth rate of a single species population, P(), that includes competition for limited resources.arrow_forwardSome populations initially grow exponentially but eventually level off. Equations of the formP (t) = M/(1 + Ae-kt)where M, A, and k are positive constants, are called logistic equations andare often used to model such populations. Here M is called the carryingcapacity and represents the maximum population size that can be supported,and A =(M−P0 )/Powhere P0 is the initial population.(a) Compute lim t→∞P (t). Explain why your answer is to be expected. (b) Compute limM→∞P (t). (Note that A is defined in terms of M.) What kindof function is your result?arrow_forward
- Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage LearningAlgebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage