SURVIVAL OF THE SPOTTED OWLSUsing actual field data from demographic studies, R. Lamberson and co-workers considered the following stage-matrix model:2jk+1.33JkSk+1.18SkAk+1.71.94Ak• Here the number of new juvenile females in year k +1 is .33 times the number of adultfemales in year k (based on the average birth rate per owl pair).• Also, 18% of the juveniles survive to become subadults,• and 71% of the subadults and 94% of the adults survive to be counted as adults.• The stage-matrix model is a difference equation of the form x+1Axg.%D Suppose the search survival rate of the juvenile owls is 50%, so the (2,1) - entry in the stage-matrix A in (10) is .30 instead of .18. What doesthe stage-matrix model predict about this spotted owl population?

Given that- The survival rate of juvenile owls is 50%, so that entry in the stage -matrix is 0.3…

Answered: SURVIVAL OF THE SPOTTED OWLS Using…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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A financial analyst is examining the relationship between stock prices and earnings per share. She chooses sixteen publicly traded companies at random and records for each the company's current stock price and the company's earnings per share reported for the past 12 months. Her data are given below, with x denoting the earnings per share from the previous year, and y denoting the current stock price (both in dollars). Based on these data, she computes the least- squares regression line to be y =-0.303 +0.048x. This line, along with a scatter plot of her data, is shown below. Earnings per share, x (in dollars) Current stock price, y (in dollars) 36.37 1.61 52.57 2.80 57.34 2.81 36.26 1.29 57.82 2.24 41.36 1.66 51.02 1.71 Xx X 31.83 0.78 27.38 0.82 14.63 0.51 it 0.5. 33.70 + + 1.64 39.97 1.06 42.39 1.91 Earnings per share (in dollars) 18.83 0.68 21.10 0.83 29.79 1.33 Send data to calculator Send data to Excel Based on the analyst's data and regression line, answer the following. (a)…
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A financial analyst is examining the relationship between stock prices and earnings per share. She chooses sixteen publicly traded companies at random and records for each the company's current stock price and the company's earnings per share reported for the past 12 months. Her data are given below, with x denoting the earnings per share from the previous year, and y denoting the current stock price (both in dollars). Based on these data, she computes the least-squares regression line to be y = -0.224+0.044x. This line, along with a scatter plot of her data, is shown below. Earnings per share, x (in dollars) 30.13 42.76 58.46 37.50 57.30 27.60 30.17 41.82 50.09 38.18 22.41 33.44 39.66 14.13 17.85 53.57 Send data to calculator V Current stock price, y (in dollars) 1.41 1.37 2.25 1.54 2.64 0.90 0.79 1.04 1.56 1.15 0.65 1.72 1.80 0.51 0.71 2.74 Send data to Excel Current stock price (in dollars) Based on the analyst's data and regression line, complete the following. 2.5- 2+ 1.5. 0.5- 0…

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