As part of the preliminary analysis of the data provided in Table D, the researcher produced the scatter plot below.Average taings, mo=eScatter plot of Sales vs Earnings(IV)(V)(VI)A. (I), (II), and (VI)B. (II), (III), and (V)C. (III), (IV), and (V)D. (II), (IV) and (V)40.50Average Annual Sales60Which THREE of the following assumptions are inferable or discernible from the scatter plot?(1) Whether the sample of 20 MSMEs is representative of the population of MSMEs in the Western Cape province.Whether the assumption of a linear relationship between the independent variable and the dependent variable has been met or violated.Whether the assumption of normality of the independent variable and the dependent variable has been met or violated.The absence or presence of outliers in the data set.The direction of the relationship between the independent variable and the dependent variable.The significance of the relationship between the independent variable and the dependent variable.300

The scatter plot of the two variables sales and earning is given.

Answered: As part of the preliminary analysis of…

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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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
Comment on one aspect of the comparison of data from the twodatasets that can be seen more easily on the histograms than onthe boxplots.
B). Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. C) Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below. A. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope. B. The scatterplot does not reveal a distinct pattern. C. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope. D. The scatterplot reveals a distinct pattern that is not a straight-line pattern. Clear
Which of the following is necessary to estimate the population parameter of a Pearson's correlation coeffcient properly? A. A curvilinear relationship B. Nominal Data C. Random sampling D. Ranked scores
Draw the appropriate graph for each of the data sets given below. Explain the chosen graphs and give a short interpretation
c. Which of the following is the correct graph of the given data? -ОА. 10 1012 12 10 O C. 12- 81012 1012 Using the graph, explain the dramatic difference between the answers to parts (a) and (b). Choose the correct answer below. OA. The point (10,10) is not an outier, but it does have a strong effect on the least squares line and the correlation coefficient. OB. The point (10,10) does not have any effect on the least squares line and the correlation coefficient. OC. The point (10,10) is an outler that has a weak effect on the least squares line and the correlation coefficient. OD. The point (10,10) is an outlier that has a strong effect on the least squares line and the correlation coefficient.
Select the correct box plot for the given data
A. Interpret the slope of coefficient . B. Interpret the value of coefficient of determination . c. Using the decision rule based on (-statistic, test at the 10% significatice level whether or not there is a linear relationship between advertising expenditure and sales. In other words, test the following hypotheses: H0 : B1 = 0 (there is no relationship) H1 : B1 ≠ 0 (there is a relationship)

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