The donations given by 102 persons for the improvement of their church are presented in Table 1below. Calculate and interpret the results obtained for the following:4.1 Coefficient of Variation4.2 Skewness4.3 KurtosisTable 1. Donations of 102 PersonsNo. of PersonsDonation (P)P 100 - P 199P 200 - P 299P 300 - P 399P 400 - P 499P 500 - P 599P 600 - P 699P 700 - P 799P 800 - P 899P 900 - P 99910131821159.74

In the table, the class intervals are not continuous, which means there is a gap between the upper…

Answered: by persons present below. Calculate and…

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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X= 80, Me = 70, Lower Quartile (Qı) = 20, Upper quartile (Q3) = 100 and S.D From the data given below, ascertain (1) Pearson's Coefficient of Skewness, and (11) Bowley's Coefficient of Skewness %3D %3D %3D
12
The slope D of the sample regression line provides a measure of O1.the change in the population value of the dependent variable for every unit change In the Independent varlable. O 2. the change in the population average value of the dependent varlable for overy unit change in the independent varlable, 03.the change In the population value of the independent varlable for every unit change in the dependent varlable. 04.the change in the population average value of the independent variable for every unit change in the dependent varlablo. O 5.the change in the estimated population value of the dependent variable for every unit change in the Independent varlable. O 6.the change in the estimated population average value of the dependent variable for every unit change in the independent varlable. O 7. the change in the estimated population value of the independent variable for every unit change in the dependent variable, O 8. the change in the estimated population average value of the…
х1 x2 x3 13.92 3.5 94 13.85 2.12 98 13.59 2.2 48 13.32 3.09 90 14.89 4.31 110 12.9 3.21 104 14.2 3.34 114 13.78 3.01 87 13.38 2.49 102 14.38 2.69 105 14.35 2.26 101 14.78 3.34 60 13.95 2.3 144 14.34 2.95 73 14.64 2.93 89 13.92 2.96 124 13.23 3.42 107 14.58 3.14 87 13.42 3.15 85 13.51 3.86 146 14.15 3.15 163 13.9 3.08 165 12.34 2.09 143 14.22 2.68 58 13.39 2.1 73 14.22 1.89 115 13.44 2.03 89 13.4 2.19 101
eBook Given are five observations for two variables, z and y. 15 13 17 19 51 58 50 23 16 The estimated regression equation for these data is y= 62.15 - 2.05z. a. Compute SSE, SST, and SSR. %3D SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimais) b. Compute the coefficient of determination r, Comment on the goodness of fit. (to 3 decimals) The least squares line provided an Select your answer it; % of the variability in y has been explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals) 0 Jcon Key 4 Question 2 of
A study was conducted to investigate the number of collisions possible between bumper cars at an amusement park. Assuming that no two bumper cars can collide more than once, which of the following curves of best fit most closely describes the data in the table? # of Cars Possible Collisions 1 1 3 3 4 6 5 10 6 15 7 21 O y = 0.5a? – 0.5x O y = -0.5z? + 0.5x O y = 3.5x – 6 O y = 6x – 3.5
I need help with part b please
Subject Name: Statistical Q: y y ху 120 126 12 10 144 196 121 100 81 225 14 IS 8 165 16 256 64 128 80 72 240 80 16 5 256 25 18 12 20 324 144 400 4 16 20 400 4 16 10 16 100 256 225 160 12 15 144 180 Ex 141 Ey 106 Ex=2085 Ey' 1408 Exy 1351 a- Calculate the coefficient of determination for the results given in Table b- explain meaning of result goted in a
Given are five observations for two variables, z and y. z 3 9 10 18 20 | 53 55 50 14 16 The estimated regression equation for these data is y 70.38 – 2.73z. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) 230 (to 2 decimals) (to 2 decimals) b. Compute the coefficient of determination. Comment on the goodness of fit. SST SSR (to 3 decimals) The least squares line provided an pood explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. % of the variability in y has been (to 3 decimals)
Please answer 1.4 to 1.6
1:49 AA O www-awn.aleks.com : d on the same scale from a population, O REGRESSION AND CORRELATION Linear relationship and the.. y u V 1.0 3.0 1.0 7.2 11 10 10 9- 84 2.0 | 4.4 2.0 9.0 3.0 | 3.0 3.0 | 7.0 4.0 4.9 4.0 5.6 6- 5.0 4.3 5.0 8.1 4. 4- 6.0 | 7.0 6.0 4.8 2. 7.0 | 6.1 7.0 4.3 8.0 7.8 8.0 | 7.1 9.0 | 7.0 Figure 1 9.0 6.0 Figure 2 10.0 8.3 10.0 4.3 t mn w 1.0 10.0 1 10- x 9- 1.0 3.8 11 2.0 | 5.8 10- 94 2.0 9.0 3.0 | 8.1 3.0 | 8.0 7 4.0 7.0 4.0 | 9.2 6- 5. 5.0 10.3 4. 5.0 6.0 4- 3 3 6.0 9.7 6.0 5.0 2. 7.0 | 9.8 7.0 | 4.0 8.0 | 7.9 8.0 3.0 9.0 2.0 Figure 4 |10.0 1.0 9.0 | 6.6 Figure 3 10.0 3.7 Answer the following questions. The same response answer for more than one question. 1. Which data set has an apparent negative, but not perfect, linear relationship between its two variables? Choose one 2. In which data set is there evidence of a strong nonlinear relationship between the two variables? Choose one 3. Which data set indicates the strongest negative linear Choose one relationship…

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