The numbers of tourists (in thousands) visiting Table Mountain in Cape Town per quarter, for threeconsecutive years from 2036 to 2038 are presented in Figure 2 below:QUARTERS [X]123456789101112Ex=78SALES [Y]195216232300158228183298180198200307Σy = A=A. 2569B. 560C. 9562D. 2695X²149162536496481100121144Σx2 = B=Y²380254665653824900002496451984334898880432400392044000094249Σy² = C=Figure 2[Hint: Use quarters as X values for this and subsequent questions]Compute the actual value indicated by A.XY19543269612007901368128123841620198022003684Σxy =17830

Sales(Y) 195 216 232 300 158 228 183 298 180 198 200 307 ∑y=A We have to find value of A

Answered: The numbers of tourists (in thousands)…

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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Question 8 The relationship between annual salary (in US dollars) and race was estimated as below in a linear format. (White employees were coded as 0 and Non-White employees were coded as 1.) Annual Salary = -17,472 * Non-White + 48,253 (The p-value for the coefficient of Non-White is 0.01.) How can the relationship between race and annual salary be interpreted? A.) White employees are expected to receive 17,472 dollars more than non-white employees. B.) White employees are expected to receive 17,472 dollars less than non-white employees. C.)There is no meaningful difference in annual salary between white and non-white employees from a statistical point of view. D.) White employees are expected to receive 48,253 dollars more than non-white employees.
Question 46
Please answer 2, 4, 5 and 6
iven group data: Gp l1 l2 . f . 1 20 30 7 2 30 40 9 . Find: Midquartile 3 40 50 12 4 50 60 15 5 60 70 5 6 . 70 80 4
Question 2 The imports of a company were as follows: Price per unit (in Pula) Number of units Product 2012 2022 2012 2022 A 5.00 12.00 2500 2800 B 6.50 14.50 5000 4950 C 10.00 16.00 3500 4300 Use 2012 as base year to calculate: The price index of Laspeyeres. The price index of Paasche. The quantity index of Laspeyeres. The quantity index of Paasche. Hence find the Fishers Price and Fishers Quantity Indexes.
2) d and e.
QUESTION 3 The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature x1, the number of days in the month x), the average product purity x3, and the tons of product produced x4. The past year's historical data are available and are presented in the following table. 240 25 24 91 100 31 236 290 21 90 95 110 45 24 88 274 60 25 87 88 301 65 25 91 94 316 72 94 26 25 25 99 97 300 80 87 296 84 86 96 267 75 24 88 110 276 60 25 91 105 288 261 50 25 90 100 38 23 89 98 If y= ao+@1X1+a2x2+@3X3+ a4X4 represents the regression model. What is the value of a4? Use 4 decimal places.
question 45 and 46
QUESTION 9 The following boxplots show the property crime rate per 100,000 residents in the 50 states grouped by regions. The regions are the Midwest (MW), Northeast (NE), South (S), and West (W). MW- NE S- W- 1500 2000 2500 3000 3500 4000 4500 Property Crime (per 100,000 residents) As measured by the interquartile range (IQR), which region has the lowest variation in property crime rates per 100,000 residents? O A. MW O B. NE OC.S O D.W
Question 28 b,c, and d
Questions 2 and 3 are individual parts. That is, each group member is to answer the questions for a different day, according to the following list: Member 1: Day 4 Member 2: Day 6 Member 3: Day 8 Member 4: Day 10 2. Estimate the average rate of flow from three days before your day until your day; from two days before your day until your day; from one day before your day until your day. Also estimate the average rate of flow from your day until three days after your day; from your day until two days after your day; from your day until one day after your day. Copyright 1994 John Wiley & Sons, Inc. 224 3. Estimate the instantaneous rate of flow on your day.
Question 3 A second-hand car dealer wants to investigate the relationship between the price of the car (in RM000) and the mileage travelled (000km). He randomly selected 10 cars from his workshop and the data collected are shown in the table below. Mileage (000km) 18 22 25 30 42 38 50 58 65 74 Price 56 54 48 40 43 35 27 25 19 15 (RM000) Σχ- 422, ΣΥ-362, ΣΧ= 21106, ΣY14970, ΣΧΥ-12877 !! %3D

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