solution:
Optimum Decision Variable:-
It is a quantity that the decision-maker controls. The OptQuest Engine manipulates decision variables in search of their optimal values. Decision variables are added to an optimization problem by instantiating a decision variable and adding the instance to the optimization using the COptQuestOptimization::AddVariable() method.
For example, in an optimization model for labor scheduling, the number of nurses to employ during the morning shift in an emergency room may be a decision variable.
Optimal RSS:-
Received Signal Strength (RSS) measurements are used for Connectivity-based localization schemes compute the node positions using proximity information collected within the network.Connectivity data can be obtained by comparing the RSS against a threshold.
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4. You must fit a single node decision tree to predict weight from height and gender...
The data below represents height in inches/weight in pounds. Clearly identify the dependent and independent variables as well as the domain and range. Choose any two points from the data using different independent variables and use those two points to determine the rate of change (slope). Then, using the dependent data value of -500 as your initial value, write an equation for the linear function model. Predict what you expect at a height of 75". inches/pounds 60" - 105, 110...
please help with these questions thank you! Height Weight BMI Age (years) HeightPercentile Weight Percentile Percentile cm 3.5 97 15.4 115 27 135 46 12 155 75 16 166 Questions to complete for the assignment: 1. What is your assessment of his growth pattern for the following items: a. weight/age b. height/age BMI percentile change over time c. If today's date is February 20, 2018 and his birth date is August 25, 2001, what is his age to date? Please...
Practice Problem set 4 (Due Tuesday) Bonus points 3 Name Answer the following questions using the data gathered by researchers, from a random sample of undergraduate students during Spring 2015. 1. It is estimated that that Shoe size of adults 18-20 yrs. Follows a normal distribution with mean 9.5 and sd-2 (55 follows N(9.5, 2)). Test if this is true for the sample of 31 students using the 68, 95, 99.5 rule for normal distributions. Interval Number in this interval...
Student What is your height in inches? What is your weight in pounds? What is your cumulative Grade Point Average (GPA) at FTCC or your primary college? How many hours do you sleep each night? 1 67 100 4 7 2 62 105 4 5 3 72 120 4 8 4 61 125 4 7 5 56 105 3.7 6 6 61 120 4 7 7 65 172 3.8 7 8 72 235 3.22 5 9 63 135 4 6...
help with question 7b 5. What population has: (a) the largest mean height? Population 2 has the largest mean height. (b) the largest mean weight? Population 2 has the largest mean weight 6. a. Which population has the most variance in height? Population 1 has the most variance in height. b. Which population has the most variance in weight? Population 1 has the most variance in weight 7. a. Which population is a better representation of the global gene pool?...
Body Exam measurements are from 300 subjects. Age is in years, GENDER 1 = Male 0 = Female. PULSE is the pulse rate (beats per minute), SYSTOTOLIC is systolic blood pressure (mmHg). DIASTOLIC is diastolic blood pressure (mmHG), HDL is cholesterol (mg/dL). LDL is LDL cholesterol (Hg/dL). WHITE is the white blood cell count (1000cells/μL). RED is red blood cell count (million cells/ μL), PLATE is platelet count (1000cells/μL). WEIGHT is weight (kg), HEIGHT is height (cm), WAIST is waist...
You will start by considering the data set in the proj2-2.txt file on BlackBoard. The data set contains SEX (1=female; 2=male), PEFR in l/min and height in cm. 1. Make a scatter plot of PEFR versus height. 2. Fit the simple linear regression of PEFR on height. 3. What is the estimated slope (with CI) and the interpretation of this estimate. 4. What is the standard deviation around the line (with CI) and the interpretation of this estimate. 5. Estimate...
write by python code and screenshoot the python code for me. thanks The Problem: You are to design a Calorie Intake Assistant tailored to the user’s personal characteristics. The assistant will initially ask the user for his/her gender, name, age in years, height in cm and weight in kg. Based on these, the assistant will calculate the recommended daily calorie intake (RDCI) using the Mifflin – St Jeor formula[1], which is also shown to the user: Mifflin – St Jeor...
nutriton question, answer if you really know it. Shannon is a 29 year old female currently intubated and sedated in the ICU due to domestic abuse Today is hospital day #3. She had surgery after being admitted from the emergency department to repair her small bowel, colon, liver and spleen due to multiple abdominal stab wounds. Her abdomen is currently firm and distended with negative bowel sounds. She has a nasogastric tube in place which has drained 1800 mL out...
2. Using the data set of the Health Exam Results, conduct the following analysis between the variables of weight (WT) and Body Mass Index (BMI). Number the data set from 1 to 40, and select the following individuals: . Set 1 (Malo): 1, 5, 10, 13, 15, 18, 19, 24, 29, 31, 32, 33 .Set 2 (Fomalo): 4, 9, 15, 16, 17, 22, 23, 29, 33, 37, 38, 40 Draw a scatter diagram of the sample of 12 data set...