1. The department of health studied the number of patients who need livertransplantation. The following data are the Liver Transplantation Waiting List (LTWL),where y is the size (in number of patients) and x is the corresponding year:y 1319 1861 2980 4048 5065 7048 7935 7844 8081 8845 8731 8882 9350x 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016(a) Fit the simple linear regression model using the method of least squares. Find theestimate of ².(b) How does the LTWL size change in average for a year?(c) Estimate the number of patients in the list in 2019.(d) Calculate the fitted value of y corresponding to x = 2013. Find the correspondingresidual.

The regression equation is used to predict the dependent variable based on the independent variable.…

Answered: 1. The department of health studied 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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The Fish and Game Department stocked a lake with fish in the following proportions: 30% catfish, 15% bass, 40% bluegill, and 15% pike. Five years later it sampled the lake to see if the distribution of fish had changed. It found that the 500 fish in the sample were distributed as follows. Catfish Bass Bluegill Pike 118 93 210 79 n USE SALT In the 5-year interval, did the distribution of fish change at the 0.05 level? (a) What is the level of significance? State the null and alternate hypotheses. O Ho: The distributions are different. H, : The distributions are the same. Ho: The distributions are different. H,: The distributions are different. O Ho: The distributions are the same. H,: The distributions are different. O Ho: The distributions are the same. H,: The distributions are the same. (b) Find the value of the chi-square statistic for the sample. (Round your answer to three decimal places.) Are all the expected frequencies greater than 5? Yes O No What sampling distribution will…
The Fish and Game Department stocked a lake with fish in the following proportions: 30% catfish, 15% bass, 40% bluegill, and 15% pike. Five years later it sampled the lake to see if the distribution of fish had changed. It found that the 500 fish in the sample were distributed as follows. Catfish Bass Bluegill Pike 122 75 222 81 In the 5-year interval, did the distribution of fish change at the 0.05 level Find the value of the chi-square statistic for the sample. Estimate the P-value of the sample test statistic. P-value > 0.100 0.050 < P-value < 0.100 0.025 < P-value < 0.050 0.010 < P-value < 0.025 0.005 < P-value < 0.010 P-value < 0.005 Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis that the population fits the specified distribution of categories? Since the P-value > α, we fail to reject the null hypothesis. Since the P-value > α, we reject the null hypothesis. Since the…
The following data represent the inventory figures for 55-gallon fish tanks at an aquarium. 55-Gallon Fish Tanks Inventory Amount January 1 Beginning Inventory 46 units @ $38.00 March 12 Purchase 70 units @ $36.50 July 19 Purchase 135 units @ $39.70 September 2 Purchase 65 units @ $41.75 Fish Tanks Available for Sale: Cost of Tanks Available for Sale: (a) How many fish tanks did the aquarium have available for sale? fish tanks (b) Calculate the total cost (in $) of the tanks available for sale. $ (c) If physical inventory on December 31 showed 88 tanks on hand, calculate their dollar value by using FIFO. $ (d) Calculate the value of the 88 tanks by using LIFO (in $). $ (e) Calculate the dollar value of the 88 tanks by using the average cost method (Round your answer to the nearest cent). $
Following shows the numbers of Amazon Prime members in the millions, each quarter from 2016 to 2021. Quarter 2016 2017 2018 2019 2020 2021 1 26 36 48 62 81 98 2 27 37 50 65 83 103 3 29 40 53 69 86 109 4 33 44 57 74 93 117 Construct a line chart using the data. Describe the relationship between the time and number of subscribers.
2. A.) Find the 5-number summary for the data. B.) Is the data discrete or continuous?
mpute Marshall – Edgeworth price index number for the following data by taking 2016 as base year. Items sold out in a men's wear 2017. 2016 GRSH Prices Quantity Quantity Prices Shirts 900 175 700 150 Pants 1200 150 1000 100 Sandals 600 100 500 70 Shoes 1800 60 1500 50 150 Belts Watches 400 100 600 250 300 1500 1200
The 18 faculty members in a college Economics department range in age from 32 to 68 as presented in the step plot below. If the oldest faculty member retires and is replaced by a 26-year-old, the median age will: 324899 403569 534789 9 638 O decrease by 2 years. O stay the same. O increase by 2 years. increase by 4 years.
Suppose that a customer is purchasing a car. He conducts an experiment in which he puts 10 gallons of gas in the car and drives it until it runs out of gas. He conducts this experiment 15 times on each car and records the number of miles driven. Full data set Car 1 216 243 205 242 239 297 295 172 270 251 165 310 265 316 278 Car 2 231 220 223 205 245 257 242 292 248 252 287 255 250 293 251 Median for Car 2 M=___________mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Range for Car 1 R=__________mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Range for Car 2 R=__________mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Sample standard deviation for Car 1 s=_________mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Sample standard deviation…
A sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersons. Years of Annual Sales Salesperson Experience ($1000s) 1 1 80 76 3 82 4 83 8 97 93 10 96 8 12 113 14 121 10 16 119 The data on y= annual sales ($1000s) for new customer accounts and 2 = number of years of experience for a sample of 10 salespersons provided the estimated regression equation ŷ = 68.53+3.31r. For these data 7 = 8.3, (c. I = 206.10, and s = 5.2107. %3D a. Develop the 95% confidence interval for the mean annual sales ($1000s) for all salespersons with eleven years of experience. (2$ ) (to 2 decimals) b. The company is considering hiring Tom Smart, a salesperson with eleven years of experience. Develop a 95% prediction interval of annual sales ($1000s) for Tom yegrs Smart. ($ 24 ) (to 2 decimals) c. Discuss the differences in your answers to parts (a) and (b). As expected, the prediction interval is much (narrow predict…
I just need the 2 bottom ones (:

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