A sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersons.Years ofAnnual SalesSalesperson Experience($1000)118329134944510151056113781148101289121391014145a. Compute the residuals and choose a residual plot for this problem.+x (to 1 decimal)A.В.C.D.ResidualsResidualsResidualsResiduals-6+42-2-2-2-2-4-4--4-6-6-641012410124101241012The correct plot of the residuals is- Select your answer -b. Do the assumptions about the error term seem reasonable in light of the residual plot?The assumptions concerning the error termSelect your answer -+ reasonable.

Given data : X = Year of experience Y = Annual sales 1 83 2 91 4 94 5 101 6 105 6 113…

Answered: A sales manager collected the following…

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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Income (in 1960 dollars/person) for European countries and the percent of the labor force (in %) that works in agriculture in 1960 are in the table below ('OECD economic development,' 2013). X, percent of labor in agriculture (in %) Y, income (in 1960 dollars/person) 15 1242 56 324 20 977 42 290 11 1361 27 504 6 1005 79 177 23 681 11 810 18 1049 14 1644 20 1013 15 1035 25 839
6. A sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersons. Kindly answer letters A & B
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.)
An economist was interested in the relation between the disposable income of a family and the amount of money used for food per month. He did a preliminary study on eight randomly selected lower income families. (Each family was of the same size; father, mother and two children). The economist’s data are given in the table below. Food cost (Y) (in hundreds of rand) 55 60 42 40 37 26 39 43 Family disposable income(X) (in hundreds of rand) 30 36 27 20 16 24 19 25 Find the regression linear equation. What is the predicted food cost if the family disposable income is R1800? Find the correlation coefficient & Interpret r. Find the Coefficient of Determination & Interpret the R2.
2. Find the least linear fit to the following data: * * 2 3 2 -3 -3 -1 55
The following table gives estimates of the percent of a certain country's population below the poverty level for 1998–2008. Year Percent 1998 12.8 2000 11.2 2002 12.1 2004 12.7 2006 12.9 2008 13.2 Find the least squares line that relates years to percent below the poverty level. (Let x = 0 represent the year 1998. Enter a mathematical expression.
21. Which of the following statements is true regarding the sources of variation present in an analysis of regression? SSy is partitioned into variation explained by the regression model and residual variation. If most of the variability in Y is associated with residual variation, then X predicts Y. There are three sources of variation in an analysis of regression: regression variance, residual variance, and error variance. Regression variation measures variability in X, whereas residual variation measures variability in Y.
4. Residuals are... the difference between observed and values the model. B. data collected from individuals that is not consistent with the rest of the group. C. none of these D. possible models not explored by the researcher. E. variation in the data that is explained by the model. 5. If the point in the upper right corner of this scatterplot is removed from the data set, then what will happen to the slope of the line of best fit (b) and to the correlation (r)? A. b will increase, and r will decrease. b will decrease, and r will increase. C. both will decrease. D. both will increase. E. both will remain the same. 6 An 8th grade class develops a linear model that predicts the number of cheerios (a small round cereal) that fit on the circumference of a plate by using the diameter in inches. Their model is: # cheerios = 0.56 +5.11(diameter). The slope of this model is best interpreted in context as... A. For every 5.11 inches of diameter, the circumference is about 1 cheerio bigger. B.…
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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