Consider the salary of Mary Sue Nelson, a sales agent for Plain Truth Advertising. Hercompensation package for a week is W=1000+0,4Q, where Q is her dollar volume of sales.Her productivity is Q=200e+variable with mean 0. She has an effort cost of C= e2. Under this contract, her choice ofwhere e denotes her hours of effort and u is a randomeffort will be:

Answered: Consider the salary of Mary Sue Nelson,…

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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A manager wishes to determine the relationship between the distance (in hundreds of miles) the manager's sales representatives travel per month and the amount of sales (in thousands of dollars) per month. Find the standard error of estimate, Se given that ý = 3.5x + 31.388889 %3D 15 8 Miles Travele1,r Sales, y 13 11 10 3 14 76 68 65 42 38 84 82 63 48 E= 81; y = 566 a² = 913; y² = 37886 2 xy = 5738 OS, = 2.025 S = 2.296 OS. = 1.895 Se = 1.735 S. = 2.446
The line of best fit through a set of data is y = -23.849 + 0.834x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 10? y = decimal place. Round to 1
Please all the 3 of these sub-questions. Make sure answer is rounded up to 4 decimals
The number of banks in a country has been dropping steadily since 1984, and the trend in recent years has been roughly linear. The annual data for the years 1999 through 2008 can be summarized as follows, where x represents the years since 1990 and y the number of banks, in thousands. n=10 Ex-235 ²-5605 Ey-77.564 Ey²=603.80424 Exy-1810.155 a. Find an equation for the least squares line. b. Use your result from part a to predict the number of banks in the year 2020. c. If this trend continues linearly, in what year will the number of banks drop below 6200? d. Find and interpret the correlation coefficient.
A group of researchers measured how funny people rated a cartoon when they were in one of two groups: holding a pen in their teeth (forcing them to smile) or holding a pen in their lips (forcing them to frown). For this study, identify the independent variable and the dependent variable. Justify your response.
The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1�1) is the square footage, the second independent variable (x2�2) is the number of bedrooms, and the third independent variable (x3�3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 11191119 33 33 100900100900 13081308 33 44 119800119800 14521452 33 66 189800189800 16931693 33 66 190500190500 20052005 33 66 196900196900 22102210 33 99 216600216600 23012301 44 99 250900250900 23452345 44 1010 267800267800 28532853 55 1313 270000270000 Copy Data Step 1 of 2 : Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places
The values listed below are waiting times (in minutes) of customers at 2cdifferent banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers mayventer any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.3 6.6 6.7 6.8 7.1 7.2 7.5 7.8 7.8 Bank B 4.1 5.5 5.8 6.1 6.7 7.7 7.7 8.4 9.3 10.0 Construct a 95% confidence interval for the population standard deviation at Bank A
The following table shows the number of hours of safety training at a large industrial plant for each of 6 divisions within the plant and the number of work hours lost due to accidents. X: Hours of safety training 10 19 30 50 65 80 Y: Work hours lost 80 65 68 35 10 12 a. Determine the Pearson's Coefficient of Correlation for the given data. Answer rounded to two decimal places b. Which of the following is an apporpriate comment for the correlation between X and Y? There is a strong positive correlation between X and Y There is a moderate positive correlation between X and Y There is a weak positive correlation between X and Y There is a strong negative correlation between X and Y There is a moderate negative correlation between X and Y
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?
Complete the following statements. In general, % of the values in a data set lie at or below the median. % of the values in a data set lie at or below the third quartile (Q3). If a sample consists of 900 test scores, quartile (Q2). If a sample consists of 900 test scores, quartile (Q1). of them would be ot or below the second of them would be ot or above the first
Identify the variables - Students who spend more time playing video games and working each week will have a lower GPA. 3. State the two quasi-independents variable and the one dependent variable (make sure to label each as QIV or DV)
A researcher thinks that watching violent televisions increases aggressive behavior in children. To test this hypothesis, she randomly assigns 48 children into one of 3 groups (no violent TV, a little violent TV, or a lot of violent TV) and observes their playground behavior for three weeks and measures it for violence and intensity. For the variable “amount of TV” (as it appears in this problem), what is the scale of measurement? a. nominal b. ordinal c. interval d. ratio A researcher thinks that watching violent televisions increases aggressive behavior in children. To test this hypothesis, she randomly assigns 48 children into one of 3 groups (no violent TV, a little violent TV, or a lot of violent TV) and observes their playground behavior for three weeks and measures it for violence and intensity. If the researcher’s hypothesis is correct, which of the following conclusions could be drawn? a. Fail to reject the null, watching violent TV does not increase…

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