The following data represent the population of a country An ecologistis interested in building a model that describes the population(a) Treating the year as the independent variable and the population as thedependent variable, use a graphing utility to fit a logistic model from the data.Population, y76,212.20092,228,500106,021,500123,202,600132,164,600151,325,800179,323,200203,302,000226,542.200248,709,900281,421,900Year, xFind the values for a, b and c in a logistic model of the form y =19001910-bx1+ae192019301940195019601970198019902000(Use scientific notation. Round to five decimal places as needed)b-(Round to four decimal places as needed)(Round to one decimal place as needed.)(b) Graph the data together with the logistic function found in part (a) on a scatterdiagramWhich graph correctly illustrates the logistic growth model for this data?OA.0.000.000Q201076000 000O B.20.201016.000.000OC.201071.000 000() Time Remaining: 00404of

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Answered: The following data represent the…

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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SON ********** b. Do the organic Dr. Stephanie Andrews (5) Researchers from the University of Miami found that a person's GPA in high school could be an indicator of how much that person will earn later in life. The chart below depicts the findings of the study. Average annual earnings in adulthood, by high school GPA Men $50,000 40,000 30,000 20,000 10,000 0 0.0 Women 0.5 1.0 1.5 2.0 2.5 HIGH SCHOOL GPA SOURCE: University of Miami GRAPHIC: The Washington Post. Published May 20, 2014 3.0 3.5 4.0 4 a. Consider the two variables, High School GPA and Average Annual Earnings in Adulthood. Which is dependent? b. Describe the relationship between High School GPA and Average Annual Earnings in Adulthood. Is the correlation positive or negative? (Write at least two sentences.) c. Does a person's High School GPA cause them to earn a certain salary in adulthood? Explain. (Write at least one sentence.) sta tement
Data were collected from libraries about the number of patrons who have overdue books and how long they have been using the library. Years Using Library 1 1 1.5 3 3.5 5 7 10 Number of Overdue Books 12 9 10 6 5 4 2 2 The equation ŷ = 12(0.81)x is a model that fits the data. Which of the following uses the model correctly and is an example of extrapolation? A patron who has been using the library for 2 years is predicted to have between 7 and 8 overdue books. A patron who has been using the library for 13 years is predicted to have between 6 and 7 overdue books. A patron who has been using the library for 2 years is predicted to have more than 94 overdue books. A patron who has been using the library for 13 years is predicted to have less than 1 overdue book.
Find a 96% confidence interval for Hg. Let µa = H1 - H2, where u, is the mean solar energy generated for the east-west highways and µ, is the mean solar energy generated for the north-south highways. (Round to one decimal place as needed.)
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Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from a study provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data. Predictor Coef SE Coef T P Constant -0.233 2.429 -0.09 0.929 Diameter 0.7948 0.1671 5.33 0.001 S = 4.10980 R-Sq = 80.3% (a) The standard error Se of the linear regression model is given in the printout as "S." What is the value of Se? (b) The standard error of the coefficient of the predictor variable is found under "SE Coef." Recall that the standard error for b is Se Σx2 − 1 n (Σx)2 . From the Minitab display, what is the value of the standard error for the slope b?
How strong is this relationship? Obtain the correlation. (Provide your answer to four decimal places.) r=
A department store sells a broad range of household products and offers a low-cost breakfast in its store restaurants to attract customers into the stores early in the day. A manager of one of these stores is making a loss on the breakfasts. He needs to know whether the breakfast attracts customers to shop for the more profitable household items, and he decides to calculate the correlation between the number of customers taking breakfast and the number buying household items. Analyze the following sample data that are collected during the course of one week. Complete parts (a) through (e) below. a) What is the correlation coefficient over the whole week? The correlation coefficient is- (Round to four decimal places as needed.) b) What is the correlation coefficient over the weekdays only? The correlation coefficient is (Round to four decimal places as needed.) c) What is the correlation coefficient on the weekend? The correlation coefficient is (Round to four decimal places as needed.)…
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Analytic Application 1 - NFL Rushing and Fourth Down Conversions Availability Ends OMGMT-4380-500 - Sports Analytics The following bar chart visualizes the top 20 NFL players in the league by Yards Per Carry (their total yardage divided by their number of carries) for the 2021- 2022 season. Using the chart below as your reference, please answer the following questions about the pre-attentive attributes of data visualizations: Y/A by Player and Player Player Jonathick Ch. Davinjah Damien Devin Leonard Mehin Austin Elvonte Al Dillon Derick Ezekiel E Dalvin Cook Devin Singletary Led Fo Melvin Gordon Al D Der Hey Joe Ma Antonio Gon Josh lacobe Avin Kamar Sep 11, 2022 11:59 PM Question 1: What is a pre-attentive attribute? What pre-attentive attribute(s) are present in the chart above? Question 2: In the case of the chart above, is (are) the pre-attentive attribute(s) being used effectively? Why or why not? Question 3: Describe the values on this chart in relation to the baseline along the…
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