30. The following 20 observations are for two quantitative variables, x and y.ObservationyObservationy- 22- 33112249-373448- 29112328.139.-18- 3320429-131431-16-1610151418621-2816-3-15- 13-23147271789351217-1118-519- 20103-320-7-22Develop a scatter diagram for the relationship between x and y.b. What is the relationship, if any, between x and y?a.

Answered: 30. The following 20 observations are…

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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Suppose the correlation between variables x and y isr = – 1. Also suppose that the data contains the points (6, 14) and (2, 18). Finally, suppose that the x-values in the data set are: æ 2 3 5 6 8 Make a scatterplot of this data set. 20+ 19 18 17 16 15 14 13 12 10 8 6 6
We will rank the y-values of the following data set: x y -2 -11 -0.8 -11.9 0.7 11.7 1.7 12.2 2.4 1.8 4.6 9.4 6 11.9 7.8 33.4 8.4 27 9.7 21.5 The scatterplot of the data looks like this: 123456789101112-1-2-3-4-5123456789101112131415161718192021222324252627282930313233343536-1-2-3-4-5-6-7-8-9-10-11-12-13-14 Fill in the following table: x y x-rank y-rank -2 -11 1 -0.8 -11.9 2 0.7 11.7 3 1.7 12.2 4 2.4 1.8 5 4.6 9.4 6 6 11.9 7 7.8 33.4 8 8.4 27 9 9.7 21.5 10
A2. A study of test results at different schools shows that as the student-to-teacher ratio increases the average test result tends to decrease, although the relationship is quite weak. Which of the following is plausible value for the correlation between student-to- teacher ratio and average test results? A -0.9 B -0.3 C -0.01 D 0.3 E 0.9
A 7. The analyst in the Dorben Company made 10 independent time studies in the hand paint- spraying section of the finishing department. The product line under study revealed a direct relation between spraying time and product surface area. The following data were collected. Study No. 1 2 3 4 5 6 8 9 10 Surface Area 170 12 150 41 130 50 70 105 95 (sq. inches) Standard Time (hours) 0.32 0.11 0.31 0.14 0.27 0.18 7 120 0.24 0.23 0.25 (7a) Compute the slope and intercept constant using regression line equations. (7b) What is the correlation coefficient? (7c) How much spray time would you allow for a new part with a surface area of 250 sq. inches? 0.22
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
We will rank the y-values of the following data set: x y -5 2.8 -2.9 -1.7 -1.2 3.9 0 2.7 1.3 -6.6 2.2 -6.9 3.3 5.9 Fill in the following table: x y x-rank y-rank -5 2.8 1 -2.9 -1.7 2 -1.2 3.9 3 0 2.7 4 1.3 -6.6 5 2.2 -6.9 6 3.3 5.9 7
5. Which of the following is the assumption that the best way to describe the pattern of data is using a straight line? homoscedasticity normality linearity restriction of range
We will rank the y-values of the following data set: x y 3 -7.5 4.3 6.5 4.9 -7.5 6.9 -0.1 8 4.8 9.2 -7.3 10.1 -3 10.8 2.5 11.9 -13.1 Fill in the following table: x y x-rank y-rank 3 -7.5 1 4.3 6.5 2 4.9 -7.5 3 6.9 -0.1 4 8 4.8 5 9.2 -7.3 6 10.1 -3 7 10.8 2.5 8 11.9 -13.1 9
13.
Given the following data: 12, 14, 13 , 20, 18, 15, 5, 6 and 19. Construct a box-and-whisker plot for the data set. 台 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 十十券 8. 十一 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 十十+ 士一 6 7 10 11 12 13 14 15 16 17 18 19 20 21 22 23 十+ 8 9 十+ 10 11 12 13 14 15 16 17 18 19 20 21 22 23 十

2.)Use the following data where Y is the dependent and X is the independent variable: SALES EXPERIENCE Y ('000TL) X(Years) 114 61 129 135 117 6 17 11 7 12 Test the hypothesis that there is a significant correlation between Y and X at 1% level of significance.
Question 7 Is the data point, P, an outlier, an influential point, both, or neither? 60 50 40 30- 20 10 10 20 Neither Both Outlier Influential point

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30. The following 20 observations are for two quantitative variables, x and y. Observation y Observation y -22 -33 22 49 -37 34 1 11 48 12 13 2 - 29 3 2 8 9 -18 - 16 10 14 15 29 31 - 33 20 4 5 - 13 -16 21 -28 16 -3 14 - 13 -23 7 27 17 18 8 9 35 -5 -3 -15 12 - 20 18 17 14 19 11 10 3 20 -7 -22