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.Check My Work (4 remainNot AnsweredYears ofAnnual SalesSalesperson Experience($1000)8339910810351161231012511132111351012136a. Compute the residuals and choose a residual plot for this problem.z (to 1 decirfnal)A.Rasidiak

Regression equation =y = 82.1+4.6x

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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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 data are the monthly salaries and the grade point averages for students who obtained a bachelor's degree in mathematics. GPA: 2.6, 3.4, 3.6, 3.2, 3.5, and 2.9; Monthly Salary: 330o, 3600, 4000, 3500, 3900, and 3600. Plot the scatter diagram showing the deviations about the estimated regression line and the line y = y(bar).
Below are bivariate data giving birthrate and life expectancy information for each of twelve countries. For each of the countries, both the number of births x per one thousand people in the population and the female life expectancy y (in years) are given. These data are displayed in the Figure 1 scatter plot. Also given is the product of the birthrate and the female life expectancy for each of the twelve countries. (These products, written in the column labelled "xy", may aid in calculations.) Birthrate, x (number of births per 1000 pop.) Female life expectancy, y (in years) 41.3 15.6 52.1 32.0 47.0 49.7 27.2 19.8 13.3 24.6 36.4 49.4 Send data to calculator 66.8 76.7 60.5 62.2 58.9 53.4 71.2 72.8 73.9 74.3 66.2 63.0 xy 2758.84 1196.52 3152.05 1990.4 2768.3 2653.98 1936.64 1441.44 982.87 1827.78 2409.68 3112.2 Female life expectancy (in years) Figure 1 85- ^y 80- 75- 70- 65_ 60 55 1/46 15 20 25 30 35 40 45 50 55 60 Birthrate (number of births per 1000 pop.) What is the sample…
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5. For the following set of data: Y 1 10 5 4 4 13 a. Find the regression equation for predicting Y from X. b. Does the regression equation account for a significant portion of the variance in the Y scores? Use a = .05 to evaluate the F-ratio %3D X27 33
COMPUTE BY HAND NOT EXCEL, GOOGLE SHEETS etc 5. Write a brief paragraph about whether the in-home counseling is equally effective as the out of home treatment for two separate groups. Here are the data. The out come variable is level of anxiety after treatment on a scale from 1-10 Total In-home treatment X Out of home treatment Y X2 Y2 XY 1 3 7 9 49 21 2 4 6 16 36 24 3 1 7 1 49 7 4 1 8 1 64 8 5 1 7 1 49 7 6 3 6 9 36 18 7 3 5 9 25 15 8 6 6 36 36 36 9 5 4 25 16 20 10 1 2 1 4 2 11 4 5 16 25 20 12 5 4 25 16…
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.
Data on the price ($1000s) and the size (1000 ft2 sqaured) for 156 randomly selected houses that have been sold is summarized in the accompanying regression output and plots. Complete parts a and b a) Check the assumptions and conditions for inference. Select all that apply. A. The residuals look random. B. The residuals are nearly normal. C. The scatterplot looks straight enough. D. The residual plot and the scatterplot show consistent variability. E. None of the assumptions and conditions for inference are satisfied.
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 following table shows the values of the age and the job satisfaction of ice cream shop employees Employee Age Job Satisfaction16 918 920 722 824 426 528 626 524 722 8 d. Sketch a scatterplot of this data by hand (do NOT use/submit any plots created by a program).e. Does there appear to be a linear relationship between the two variables? f. Calculate the slope for this data.
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 of Annual Sales Salesperson Experience ($1000) 1 1 83 2 91 3 4 94 4 5 101 5 105 6 113 7 8 114 8 10 128 9 12 139 10 14 145 a. Compute the residuals and choose a residual plot for this problem. + x (to 1 decimal) A. В. C. D. Residuals Residuals Residuals Residuals -6 +4 2 -2 -2 -2 -2 -4 -4 --4 -6 -6 -6 4 10 12 4 10 12 4 10 12 4 10 12 The 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 term Select your answer - + reasonable.

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