The data to the right represent the number of10125137....(d) What percentage of the Saturdays had 4 or more customers waiting for a table at 6:00 P.M.?(Type an integer or a decimal. Do not round.)(e) What percentage of the Saturdays had 9 or fewer customers waiting for a table at 6:00 P.M.?(Type an integer or a decimal. Do not round.)(f) Construct a frequency histogram of the data. Choose the correct histogram below.A.В.С.D.21-18=1551221-1811531221-18515312321-18-15-12-4 7 10 13 164 7 10 13 161 4 7 10 13 161 4 7 10 13 16Number of CustomersNumber of CustomersNumber of CustomersNumber of Customers(g) Construct a relative frequency histogram of the data. Choose the correct histogram below.A.В.D.0.6-0.5-0.4-0.3-0.2-0.110-F1 4 7 10 13 160.6-0.5-0.4-0.3-0.2-0.110.6+0.5-0.4-0.3-0.2-0.110.6-0.5-0.4-0.3-0.2-0.141 4 7 10 13 161 4 7 10 13 161 4 7 10 13 16FrequencyRelative FrequencyRelative FrequencyFrequencyFrequencyRelative FrequencyRelative FrequencyFrequency The data to the right represent the number ofcustomers waiting for a table at 6:00 P.M. for 40consecutive Saturdays at Bobak's Restaurant.Complete parts (a) through (h) below.10125139.715149.117111212108.9.811141312810810129.11111061011(a) Are these data discrete or continuous? Explain.A. The data are discrete because there are a finite or countable number of values.B. The data are continuous because there are a finite or countable number of values.C. The data are continuous because it was recorded for 40 consecutive Saturdays.D. The data are discrete because it was recorded for 40 consecutive Saturdays.(b) Construct a frequency distribution of the data.Number ofFrequencyCustomers1-34-67-910–1213–15(c) Construct a relative frequency distribution of the data.Number ofRelativeCustomersFrequency1-34-67-9

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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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##6d Consider the following data: A women’s clothing department wants to find out if there is a relationship (and what kind of relationship) between the price of an item and the time that it takes to a customer to decide in buying that item. Item Price (x) Decision Time (in minutes) (Y) $30 12 $20 8 $300 37 $80 20 $78 15 $25 10 $17 9 $63 14 $150 20 $250 30 $10 4 $8 5 $180 27 $260 28 Give (or calculate) the regression equation coefficients; Give the equation of regression. Based on the above values, in detail draw the conclusion: Discuss the correlation coefficient r Discuss the coefficient of determination r2 Discuss in detail the meaning of the regression equation
S3.3. The following data set represent the time (in minutes) necessary to travel from one citysector to another.53 57 60 57 54 53 54 53 54 42 48 53 47 47 50 48 42 42 54 54 60(a) Make a box plot of the data set; (b) How many data entries fall on or below the thirdquartile?
A consumer index is listed for years 2008 to 2015 in the table below Complete parts (a) through (d). Year 2008 2009 2010 2011 62 Index 2012 2013 2014 2015 83 45 61 60 57 79 100 (a) Plot the data with x= B corresponding to the year 2008. OA O 8. OD. 120 AV 120 AY 120 Ay 120 70- 70 70- 70- 20 10 13 10 20- 10 13 20- 16 20 10 13 16 (b) Use quartic regression to find a fourth-order polynomial function fx) that models these data 10 13 16 (Round to three decimal places as needed)
Provide an appropriate graph for the given data
Please answer the whole question (2) Let x be the age of a licensed driver in years. Let y be the percentage of all fatal accidents (for a given age) due to failure to yield the right of way. For example, the first data pair states that 5% of all fatal accidents of 37-year-olds are due to failure to yield the right of way. x 37 47 57 67 77 87 y 5 8 10 15 27 44 Complete parts (a) through (e), given Σx = 372, Σy = 109, Σx2 = 24814, Σy2 = 3079, Σxy = 8043, and r ≈ 0.927. (a) Draw a scatter diagram displaying the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample correlation coefficient r. (Round your value for r to three decimal places.) Σx = Σy = Σx2 = Σy2 = Σxy = r = (c) Find x, and y. Then find the equation of the least-squares line = a + bx. (Round your answers for x and y to two…
i. The data below shows the maximum temperature (C) and the number of bowls of soup sold at God's Grace Canteen on eleven randomly selected days last year. Day 1 2 3 4 5 6 7 8 9 10 11 Temp. (CC) 32 36 22 29 25 18 11 16 5 2 Bowls Sold 2 2 10 10 | 20 35 45 50 50 57 63 On graph paper, draw a scatter plot of temperature against bowls sold to represent the data using a scale of 1 cm to represent 5 bowls and 2cm to represent 5°C. ii. Write down the type of relationship between the variables. iii. Calculate the mean number of bowls of soup, x, sold. Find the mean maximum temperature, y of soup recorded. 1v. Plot and label the point M (x, ỹ ) on your graph. V. V1. The line of best fit for the data passes through the point M and the y-intercept (0, 33.2). Draw this line on your graph. vii. Find the equation of the line of best fit. viii. On another day of the year, the temperature was 20°C. Using the equation of the line of best fit, estimate the number of bowls of soup sold on that day. 1X.…
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.
The following table shows the median income, in thousands of dollars, of American families for 2003 through 2008. Year 2003 2004 Income (thousands of dollars) 52.68 54.06 2005 56.19 2006 58.41 2007 2008 61.36 61.52 (a) Plot the data. H H 62 62 61 61 60 60 59 59 58 58 57 57 56 56 55 55 54 54 53 53 2004 2005 2006 2007 2008 2004 2005 2006 2007 2008 H H. 62 62 61 61 60 60 59 59 58 58 57 57 56 56 55 55 54 54 53 53 2004 2005 2006 2007 2008 2004 2005 2006 2007 2008 (b) Use exponential regression to construct an exponential model for the income data. (Let t be years since 2003 and H be the median household income in thousand of dollars.) OH = 62.520 x 0.967 OH = 57.370 x 1.010 OH = 71.932 x 0.856 OH = 49.035 x 1.245 O H = 52.587 x 1.035 (c) What was the yearly percentage growth rate in median family income during this period? (Use the model found in part (b). Round your answer to one decimal place.)
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We will rank the y-values of the following data set: x y -1 0.6 -0.5 -5.2 1.7 6 2.6 7.2 3.2 11.6 5.1 15.3 6.7 7.7 8.8 17.1 9.4 22.4 10.1 13.8 Fill in the following table: x y x-rank y-rank -1 0.6 1 -0.5 -5.2 2 1.7 6 3 2.6 7.2 4 3.2 11.6 5 5.1 15.3 6 6.7 7.7 7 8.8 17.1 8 9.4 22.4 9 10.1 13.8 10
A biologist is monitoring several small groups of elk. Each group is made of one or two "resident" males, however during mating season "bachelor" males will challenge the resident males of the heard. The biologist records the following information about the encounter. Identify each of the variables below as Categorical, Quantitative Discrete, Quantitative Continuous, or Identifier. Who won the challenge - the bachelor or the resident How long the challenge lasts How many cows (females) are in the group Estimation of the general health of the group, on a scale of 1 (poor) to 5 (robust) Designation/name of the group
The below data represent the advertising expenditure and sales of Little Liu Ltd from year 2008 to 2017. Table: Advertising Expenditure vs. Sales from 2008 to 2017 Year Advert. Expenditure Sales (x, £000) (y, £000) 2008 8 30 2009 12 40 2010 11 29 2011 5 29 2012 14 43 2013 3 17 2014 6 20 2015 8 30 2016 4 22 2017 9 40 Total 80 300 Figure: Scatter Diagram of Advertising Expenditure and Sales with Trend line ( See picture) What is the statistical relationship shown in the Figure and list out 3 characteristics of this relationship? 2. Work out the values of parameters of the relationship shown in the Figure (i.e. work out the equation of the relationship). 3.Explain the relationship and make recommendations to Little Liu Ltd based on the information given.

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