Question 1Which of the following is a discrete variable?A Weight of contents of a box(B Average amount of sales daily(c) Total number of boxes sold dailyDCost of delivering the boxes daily

Answered: Question 1 Which of the following is a…

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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Relate how the independent and dependent variables affect each other.
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I have collected real data on the sale of a microwavable cup of soup across 20 different cities for the same time period (a month). The variables in the dataset are: Quantity sold in the city for that month: Measured in thousands of units Price: measured in dollars Average Income in the city: Measured in thousands of dollars Ads: Average number of ads run in stores for that city during that month. Price of a substitute product: measured in dollars Population of the city: measured in thousands of people The dataset is on Canvas and, using Excel or any other statistical software, please answer the following questions: 1. Describe the patterns in quantity sold and own and rival prices during this time period using basic descriptive statistics. Graphs are welcome as well. 2. Take the logs of the variables, and estimate the demand function. a. Interpret the R-square. b. Interpret the coefficients for logP and logPsub c. Interpret the p-values associated with each independent…
1. Instruction: For each of the following variables, indicate whether it is qualitative or quantitative. For quantitative variables, further categorize them into the discrete or continuous type. (a) Gender (b) Hospital bed capacity. (c) Blood glucose level (in mg/100 mL) (d) Systolic blood pressure (e) Height (in centimeter) (f) Blood type (g) Per capita income (h) Household size (i) Mid-upper arm circumference (in centimeter) () Region (k) Pulse rate (I) Civil status
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Floor Space (sq. ft.) 6,060 5,230 4,280 5,580 5,670 5,020 5,410 4,990 4,220 4,168 4,870 5,470 weekly Sales (dollars) 16,380 14,400 13,820 18,230 14,200 12,800 15,840 16,610 13,610 10,050 15,320 13,270 A Click here for the Excel Data File (a) Using the table above, select the most appropriate scatter plot from the given cholces. Scatter Plot A Scatter Plot B Scatter Plot C Floor Space and We ekly Sales Floor Space and Weekly Sales Floor Space and We ekly Sales 20,000 18,000 16,000 14.000 12.000 10,000 8,000 6,000 4,000 2,000 20,000 18,000 16,000 14,000 12.000 10,000 8,000 6,000 4.000 2,000 20,000 18,000 16,000 14,000 12,000 10,000 8,000 6,000 4,000 2,000 1,000 2,000 3,000 4,000 5,000 6,000 7,000 1,000 2,000 3,000 4,000 5,000 6,000 7,000 1,000 2,000 3,000 4,000 5,000 6,000 7,000 FLOOR SPACE FLOOR SPACE FLOOR SPACE O Scatter Plot A O Scatter Plot B O Scatter Plot C (b) Define the relationship between X and Y. (You may select more than one answer. Click the box with a check mark for the…
Description: Per capita numbers of cigarettes smoked/sold by 43 US States and the District of Columbia in 1960 along with death rates from various forms of cancer Variables: STATE – US State/District CIG – Number of cigarettes smoked/sold (hds per capita) BLAD – Number of deaths per 100k people in the population from bladder cancer LUNG – Number of deaths per 100k people in the population from lung cancer KID – Number of deaths per 100k people in the population from kidney cancer LEUK – Number of deaths per 100k people in the population from leukemia Research Question: Taking note that cigarette sales can be swelled by tourism, find a ‘best’ simple linear model to predict the number of cigarettes smoked/sold.
Timber yield is approximately equal to the volume of a tree, however, this value is difficult to measure without first cutting the tree down. Instead, other variables, such as height and diameter, may be used to predict a tree's volume and yield. Below is data on diameter (inches), height (feet), and volume (cubic feet) diameter height volume 18 80 51.5 8.3 70 10.3 11.2 75 19.9 13.3 86 27.4 12.9 85 33.8 11.7 69 21.3 20.6 87 77 11.4 76 21.4 17.9 80 58.3 13.7 71 25.7 16 72 38.3 10.7 81 18.8 10.8 83 19.7 16.3 77 42.6 12 75 19.1 13.8 64 24.9 10.5 72 16.4 17.3 81 55.4 11 75 18.2 11.4 76 21 8.8 63 10.2 14.2 80 31.7 Develop a regression model to use diameter and height to predict volume. Report the adjusted R-squared. Blank 1. Fill in the blank, read surrounding text.
Following are some of the variables from a survey conducted by the U.S. Census Bureau. Which of the variables is quantitative? all of the above the number of people living in a household O the total household gross income O the ages of household residents.
QUESTION FOUR The average prices of a Bath & Shower gel, a Body Moisturisers, a Deodorants and a Shaving cream were recorded in both 2011 and 2021 as below. (Prices are in R.) 2011 2021 4.1 4.2 Price (R) Number sold (in millions) Price (R) Number sold (in millions) Bath & Body Shower gel Moisturisers 17 7.5 23.7 8.2 7.3 4.2 12.5 5.1 Deodorants 5.5 12.6 8.7 13.5 Shaving cream 15.8 8.5 22.9 9.5 Find the Laspeyres price and quantity indices for 2021 using a base year of 2011 and interpret your answer Find the Paasche price and quantity indices for 2021 using a base year of 2011 and interpret your answer.
A variable which can assume any value within a given range is _______________ a. Discrete variable b. Quantitative variable c. Continuous variable d. Qualitative variable

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Question 1 Which of the following is a discrete variable? (A Weight of contents of a box B Average amount of sales daily C Total number of boxes sold daily D Cost of delivering the boxes daily