C. ITSworks is a large computer discount store that sells computers and ancillary equipment andsoftware in the town where State University is located. LTSworks has collected historical dataon computer s+es and printer sales for the past 10 years as follows.Personal Computer Sales1045YearPrinters Sold13261610510860296478412119753056.1117506710666128.13105601517590101246676i.Develop a linear regression model for these data and forecast printer demand in year 11if 1,300 computers are sold.ii.Develop a linear trend line forecast to forecast printer demand in year 11.iii.Compare the forecasts developed in parts (i) and (ii) and indicate which one appears tobe more accurate.

Answered: Image /qna-images/answer/7a9d9992-18ee-4728-87e4-85feed91734d.jpg

Answered: ASWATKS is a large computer discount…

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 success of an airline depends heavily on its ability to provide a pleasant customer experience. One dimension of customer service on which airines compete is on-time arrival. The file LateFlights contains a sample of data from delayed fights showing the number of minutes each delayed fight was late for two dfferent airlines, Deita and Southwest. Click on the datafile logo to reference the data. DATA file Delta Southwest Delta Southwest Delta Southwest Delta Southwest Deita 36 30 34 38 119 120 63 37 35 67 114 53 102 55 8 87 68 100 43 50 86 74 17 66 87 35 40 34 64 41 53 30 86 33 57 61 7. 46 S2 26 70 62 75 54 80 a. Formulate the hypotheses that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. 41= population mean minutes late for delayed Deita flights Ha = population mean minutes late for delayed Southwest flights Ho: H- 2Select your answer H.: -4a- Select your answer b. What is the sample mean number of minutes…
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 x2, 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 91 100 236 31 21 90 95 290 45 24 88 110 274 60 25 87 88 25 26 25 301 65 91 94 316 72 94 99 300 80 87 97 84 75 296 25 86 96 267 24 88 110 276 60 25 91 105 288 50 38 25 23 90 100 261 89 98 If y= ao+a1X1 +a2x2+Q3X3+Q4X4 represents the regression model. What is the value of a2? Use 2 decimal places.
Please give the excel formula or spreadsheet.
Determine if the data are approximately normally distributed. Please use R software.
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 table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)
The female life expectancy and the male life expectancy (in years) for 30 industrial countries were recorded. The data are shown in the back-to-back stemplot below. Female Life Expectancy Male Life Expectancy 68 69 69 70 18 71 72 9 8 73 0 74 9 75 12 5 68 9 76 2 2 7 789 99 77 1 2 4 5 6 7 78 0 4 5 6 7 4 1 79 2 4 2 80 988 7 7 6 6 4 1 81 8 7 5 3 3 2 82 998 32 183 84 5 85 6816 represents 68.6 years Based on the stemplot, which of the following statements is true? (A) The median life expectancy and the range of life expectancies are both less for females than for males in these countries. (B) The median life expectancy and the range of life expectancies are both greater for females than for males in these countries. (C) The median life expectancy is the same for females and males in these countries, and the range of life expectancies is the same for females and for males in these countries. (D) The median life expectancy is less for females than for males in these countries, and the range of…
(e) Test the hypothesis Ho : B1 = 10 versus H1 :ß, # 10 using a = 0.01. Ho and conclude the slope v 10 at a = 0.01. (d) Test the hypothesis Ho : Bo = 0 versus H1 : Bo + 0 using a = 0.01. Ho and conclude that the intercept be included in the model.
A1 1 2 3 7 5 5 7 B 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 A Day 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 X B Discharged_Patients A 54 63 110 105 131 137 80 63 75 92 105 112 120 95 72 128 126 106 129 136 94 74 107 135 124 113 140 83 62 106 fx Day с Records_not_Processed 18 18 52 29 70 57 26 29 14 27 49 38 47 26 28 49 45 39 27 38 44 25 29 62 44 60 46 38 25 39 D E F G H I J
A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
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