Deck 14: Making Use of Associations Tests
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Deck 14: Making Use of Associations Tests
1
________ are useful because they determine if there is a consistent and systematic relationship between the presence(label)or amount(level)of one variable and the presence(label)or amount(level)of another variable.
A)Systematic analysis processes
B)Strategic relationship models
C)Associative analysis procedures
D)Relational databases
A)Systematic analysis processes
B)Strategic relationship models
C)Associative analysis procedures
D)Relational databases
C
2
When the researcher determines that a true relationship does exist in the population by means of the correct statistical test,he or she then establishes its:
A)Direction or pattern.
B)Pattern and specificity.
C)Significance or pattern.
D)Direction or significance.
A)Direction or pattern.
B)Pattern and specificity.
C)Significance or pattern.
D)Direction or significance.
A
3
A ________ describes the situation in which knowledge of the amount of one variable will automatically yield knowledge of the amount of the other variable as a consequence.
A)linear relationship
B)monotonic relationship
C)curvilinear relationship
D)nonmonotonic relationship
A)linear relationship
B)monotonic relationship
C)curvilinear relationship
D)nonmonotonic relationship
A
4
In a ________,the researcher can assign a general direction to the association between the two variables.
A)linear relationship
B)curvilinear relationship
C)monotonic relationship
D)nonmonotonic relationship
A)linear relationship
B)curvilinear relationship
C)monotonic relationship
D)nonmonotonic relationship
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5
________ often provide researchers with insights that lead to understanding even though they are not cause-and-effect relationships.
A)Non-statistical relationships
B)Statistical linkages or relationships
C)Strategic relationships
D)Relational databases
A)Non-statistical relationships
B)Statistical linkages or relationships
C)Strategic relationships
D)Relational databases
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6
There are statistical analyses beyond simple descriptive measures,statistical inference,and differences tests including ________,which determine whether a stable relationship exists between two variables.
A)associative analyses
B)analysis of variance analyses
C)regression analyses
D)predictive analyses
A)associative analyses
B)analysis of variance analyses
C)regression analyses
D)predictive analyses
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7
When a researcher refers to finding that a systematic relationship exists between the two variables of interest in the population,he or she is referring to which relationship characteristic?
A)Absence
B)Presence
C)Direction
D)Strength of association
A)Absence
B)Presence
C)Direction
D)Strength of association
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8
An index number,constrained to fall between -1.0 and +1.0,that communicates both the strength and the direction of a linear relationship between two scale variables is a:
A)Standard deviation.
B)Correlation coefficient.
C)Covariant.
D)Standard error.
A)Standard deviation.
B)Correlation coefficient.
C)Covariant.
D)Standard error.
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9
Regardless of its absolute value,a correlation that is not statistically significant:
A)Has some perceptible meaning.
B)Has significant meaning.
C)Requires additional examination.
D)Has no meaning at all.
A)Has some perceptible meaning.
B)Has significant meaning.
C)Requires additional examination.
D)Has no meaning at all.
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10
When a researcher talks about the amount of change in one variable systematically associated with a change in another variable,he or she is speaking about:
A)Systematic association.
B)Standard deviation.
C)Covariation.
D)Correlation.
A)Systematic association.
B)Standard deviation.
C)Covariation.
D)Correlation.
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11
There are four basic types of relationships between two variables.Which of the following is NOT one of those four basic types?
A)Linear
B)Curvilinear
C)Nonmonotonic
D)Elliptical
A)Linear
B)Curvilinear
C)Nonmonotonic
D)Elliptical
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12
Researchers may know whether the relationship between variables is positive or negative.However,when a researcher refers to ________,it means they know the general nature of the relationship.
A)pattern
B)essential
C)specificity
D)direction
A)pattern
B)essential
C)specificity
D)direction
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13
________,first determine the type of relationship,and then perform the appropriate statistical test.
A)Based on sample size
B)Based on type of software analysis
C)Based on research requirement
D)Based on scaling assumptions
A)Based on sample size
B)Based on type of software analysis
C)Based on research requirement
D)Based on scaling assumptions
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14
Depending on its type,a relationship can usually be characterized by all of the following EXCEPT:
A)Its absence.
B)Its presence.
C)Its direction.
D)Its strength of association.
A)Its absence.
B)Its presence.
C)Its direction.
D)Its strength of association.
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15
The situation in which one variable is associated with another variable,but in this case the relationship is described by a curve rather than a straight line describes what type of relationship?
A)A linear relationship
B)A curvilinear relationship
C)A semi-curvilinear relationship
D)A monotonic relationship
A)A linear relationship
B)A curvilinear relationship
C)A semi-curvilinear relationship
D)A monotonic relationship
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16
________ means the researcher knows if the relationship between variables is positive or negative.
A)Significance
B)General
C)Pattern
D)Direction
A)Significance
B)General
C)Pattern
D)Direction
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17
In the cases of ________,associations may be described with regard to direction.
A)nonmonotonic and linear relationships
B)nonmonotonic and curvilinear relationships
C)monotonic and linear relationships
D)elliptical and curvilinear relationships
A)nonmonotonic and linear relationships
B)nonmonotonic and curvilinear relationships
C)monotonic and linear relationships
D)elliptical and curvilinear relationships
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18
________ are those in which there is a high probability that the two variables will exhibit a dependable relationship,regardless of the type of relationship being analyzed.
A)High correlations
B)Strong associations
C)High variabilities
D)High dependencies
A)High correlations
B)Strong associations
C)High variabilities
D)High dependencies
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19
A ________ is one in which the presence(or absence)of a label for one variable is systematically associated with the presence(or absence)of a label for another variable.
A)non-linear relationship
B)non-curvilinear relationship
C)non-elliptical relationship
D)nonmonotonic relationship
A)non-linear relationship
B)non-curvilinear relationship
C)non-elliptical relationship
D)nonmonotonic relationship
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20
A relationship which is described as one in which there is a low probability that two variables will exhibit a dependable relationship is referred to as:
A)A high degree of association.
B)A strong association.
C)A low degree of association.
D)Weak probability.
A)A high degree of association.
B)A strong association.
C)A low degree of association.
D)Weak probability.
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21
If a Chi-square analysis yielded a .02 significance level for the null hypothesis,the researcher would conclude that only 2% of the time would he or she find evidence to support the null hypothesis.Since the null hypothesis is not supported,this means there:
A)Is no significant association.
B)Is a need to perform multiple Chi-square analyses.
C)Is a significant association.
D)There may be inaccurate conclusions regarding the calculation.
A)Is no significant association.
B)Is a need to perform multiple Chi-square analyses.
C)Is a significant association.
D)There may be inaccurate conclusions regarding the calculation.
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22
What type of analysis includes the examination of frequencies for two nominally scaled variables in a cross-tabulation table to determine whether the variables have a statistically significant nonmonotonic relationship?
A)Two independent samples test
B)Chi-square test
C)Wilcoxon-Mann-Whitney test
D)Analysis of variables(ANOVA)
A)Two independent samples test
B)Chi-square test
C)Wilcoxon-Mann-Whitney test
D)Analysis of variables(ANOVA)
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23
With what type of diagram can covariation be examined?
A)Venn diagram
B)Scatter diagram
C)Cause and effect
D)Flowchart diagram
A)Venn diagram
B)Scatter diagram
C)Cause and effect
D)Flowchart diagram
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24
To reveal the nonmonotonic relationships found to be significant in cross-tabulation tables,researchers often turn to ________,which show the relationships very adequately.
A)tabular presentations
B)real-life examples
C)side-by-side comparisons
D)graphical presentations
A)tabular presentations
B)real-life examples
C)side-by-side comparisons
D)graphical presentations
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25
If you found a significant correlation of .83 between years of education and hours spent attending San Francisco Giants' baseball games,it would mean that:
A)People with more education spend more time attending Giants' baseball games.
B)People with less education spend more time attending Giants' baseball games.
C)People with more education spend less time attending Giants' baseball games.
D)People with less education spend less time attending Giants' baseball games.
A)People with more education spend more time attending Giants' baseball games.
B)People with less education spend more time attending Giants' baseball games.
C)People with more education spend less time attending Giants' baseball games.
D)People with less education spend less time attending Giants' baseball games.
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26
________ are the actual cell counts in the cross-tabulation table.
A)Calculated frequencies
B)Non-observed frequencies
C)Observed frequencies
D)Estimated frequencies
A)Calculated frequencies
B)Non-observed frequencies
C)Observed frequencies
D)Estimated frequencies
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27
Any correlation that is ? absolute value of .20 is typically uninteresting to marketing researchers because it:
A)Never identifies a meaningful association between two variables.
B)Only raises additional issues that go beyond the scope of the calculations.
C)Raises issues related to validity and accuracy.
D)Rarely identifies a meaningful association between two variables.
A)Never identifies a meaningful association between two variables.
B)Only raises additional issues that go beyond the scope of the calculations.
C)Raises issues related to validity and accuracy.
D)Rarely identifies a meaningful association between two variables.
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28
A cross-tabulation table is sometimes referred to as a(n):
A)r × c table.
B)t × n table.
C)c × x table.
D)z x t table.
A)r × c table.
B)t × n table.
C)c × x table.
D)z x t table.
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29
Correlations that fall between the absolute values of ________ generally indicate a"strong"association.
A)1.00 and .81
B).80 and .61
C).60 and .41
D).21 and .40
A)1.00 and .81
B).80 and .61
C).60 and .41
D).21 and .40
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30
________ indicates not only the degree of association but the direction as well-the sign of the correlation coefficient indicates the direction of the relationship.
A)Pearson product moment correlation
B)Kendall rank correlation
C)Spearman correlation
D)Rank-Biserial correlation
A)Pearson product moment correlation
B)Kendall rank correlation
C)Spearman correlation
D)Rank-Biserial correlation
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31
The ________ contains the raw numbers determined from the preliminary tabulation.
A)cumulative standardized normal distribution table
B)t distribution table
C)binominal distribution table
D)frequencies table
A)cumulative standardized normal distribution table
B)t distribution table
C)binominal distribution table
D)frequencies table
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32
Losing sight of this step is entirely possible when a statistical analysis program issues a great many correlations often in a layout that is confusing to first-time data analysts:
A)Taking time to organize a visually cogent presentation.
B)Taking time to see if a significant correlation exists before reporting it.
C)Taking enough time to learn the datalytics and visualization.
D)Taking enough time to see if research results correlate with research objectives.
A)Taking time to organize a visually cogent presentation.
B)Taking time to see if a significant correlation exists before reporting it.
C)Taking enough time to learn the datalytics and visualization.
D)Taking enough time to see if research results correlate with research objectives.
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33
Any correlation that falls between the absolute value range of ________ is usually considered indicative of a"weak"association between the variables.
A).80 and .61
B)1.00 and .81
C).21 and .40
D).60 and .41
A).80 and .61
B)1.00 and .81
C).21 and .40
D).60 and .41
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34
The degree to which the observed frequencies depart from the expected frequencies is expressed in a single number called the:
A)Chi-square test statistic.
B)t-test statistic.
C)z-test statistic.
D)Analysis of variable statistic.
A)Chi-square test statistic.
B)t-test statistic.
C)z-test statistic.
D)Analysis of variable statistic.
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35
Correlation coefficients that fall between the absolute values of 1.00 and .81 are generally considered to be:
A)Very strong.
B)Somewhat strong.
C)Very weak.
D)Somewhat weak.
A)Very strong.
B)Somewhat strong.
C)Very weak.
D)Somewhat weak.
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36
What correlation coefficient measures the linear relationship between two interval- and/or ratio-scaled variables(scale variables)such as those depicted conceptually by scatter diagrams?
A)Kendall rank correlation
B)Spearman correlation
C)Pearson product moment correlation
D)Rank-Biserial correlation
A)Kendall rank correlation
B)Spearman correlation
C)Pearson product moment correlation
D)Rank-Biserial correlation
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37
The Chi-square distribution's shape changes depending on:
A)The number of rows.
B)The number of degrees of freedom.
C)The number in the sample.
D)The number of restricted degrees.
A)The number of rows.
B)The number of degrees of freedom.
C)The number in the sample.
D)The number of restricted degrees.
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38
Observed frequencies are compared to ________,which are defined as the theoretical frequencies that are derived from this hypothesis of no association between the two variables.
A)calculated frequencies
B)non-observed frequencies
C)estimated frequencies
D)expected frequencies
A)calculated frequencies
B)non-observed frequencies
C)estimated frequencies
D)expected frequencies
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39
What is used to determine whether a nonmonotonic relationship exists between two nominal-scaled variables?
A)Tabulation analysis and t tests
B)Cross-tabulation and t tests
C)Cross-tabulation and Chi-square tests
D)Tabulation analysis and chi-square tests
A)Tabulation analysis and t tests
B)Cross-tabulation and t tests
C)Cross-tabulation and Chi-square tests
D)Tabulation analysis and chi-square tests
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40
When a researcher uses the Pearson product moment correlation,two highly correlated variables will appear on a scatter diagram as what?
A)A tight hexagonal
B)A single small square
C)Two triangular patterns
D)A tight ellipse pattern
A)A tight hexagonal
B)A single small square
C)Two triangular patterns
D)A tight ellipse pattern
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41
Presence refers to the finding that a systematic relationship exists between the two variables of interest in the population,but is not a statistical issue.
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42
If two variables have nominal-scaling assumptions,a researcher would use what type of analysis?
A)Cross-tabulation analysis
B)Analysis of variance
C)Regression analysis
D)Multivariate analysis
A)Cross-tabulation analysis
B)Analysis of variance
C)Regression analysis
D)Multivariate analysis
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43
The greater the absolute size of the correlation coefficient,the greater is the covariation between the two variables,or the stronger is their relationship.
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44
Some associative analysis statistics,such as correlations,may not indicate the strength of the relationship in a straightforward manner-that is,just by their absolute size.
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45
A relationship is a consistent and systematic linkage between the levels for two scale variables or between the labels for two ordinal variables.
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46
Correlation will not detect ________ between variables.
A)nonlinear relationships
B)linear relationships
C)significant relationships between variables
D)parallel significance
A)nonlinear relationships
B)linear relationships
C)significant relationships between variables
D)parallel significance
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47
There is an orderly procedure for determining the presence,direction,and strength of a relationship,
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48
When a researcher ________,but still believes some relationship exists between two variables,he or she may resort to running a scatter plot.
A)finds an indication that there is an association
B)cannot calculate a significant association
C)does not find a significant or strong correlation
D)cannot justify more expensive research to find a significant correlation
A)finds an indication that there is an association
B)cannot calculate a significant association
C)does not find a significant or strong correlation
D)cannot justify more expensive research to find a significant correlation
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49
A ________ allows a researcher to visually inspect the plotted points and possibly to spot a systematic nonlinear relationship.
A)line graph
B)stacked bar chart
C)multiple line graph
D)scatter plot
A)line graph
B)stacked bar chart
C)multiple line graph
D)scatter plot
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50
In a linear relationship,knowledge of the amount of one variable will automatically yield knowledge of the amount of the other variable as a consequence of applying the linear or straight-line formula that is known to exist between them.
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51
Associative analyses determine whether stable relationships exist between two variables.
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52
You might be tempted to believe that more company salespeople cause more company sales or that an increase in the competitor's salesforce in a territory takes away sales.Correlation should:
A)Reaffirm that cause-and-effect relationships exist.
B)Not be interpreted to demonstrate such cause-and-effect relationships.
C)Not be interpreted to demonstrate corporate revenue would be affected.
D)Confirm that relationships between two different sales variables exist.
A)Reaffirm that cause-and-effect relationships exist.
B)Not be interpreted to demonstrate such cause-and-effect relationships.
C)Not be interpreted to demonstrate corporate revenue would be affected.
D)Confirm that relationships between two different sales variables exist.
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53
A curvilinear relationship means a very smooth curve pattern.However,it does not clearly describe the association.
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54
In a nonmonotonic relationship,only the general pattern of presence or absence is known.
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55
A monotonic relationship means the researcher knows the general direction(increasing or decreasing)of the relationship between two variables.
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56
A handy graphical tool that illustrates a nonmonotonic relationship is a ________ in which two variables are accommodated simultaneously.
A)stacked bar chart
B)horizontal bar chart
C)grouped bar chart
D)pie chart
A)stacked bar chart
B)horizontal bar chart
C)grouped bar chart
D)pie chart
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57
Strong associations are those in which there is a high probability that the two variables will exhibit independent relationships,regardless of the type of relationship being analyzed.
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58
There are five basic types of relationships between two variables: linear,curvilinear,elliptical,monotonic,and nonmonotonic.
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59
A correlational survey was repeated many,many times and computed the average for a correlation that was not significant across all of these surveys,however,eventually the researcher would get some statistical significance.
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60
With associative analysis,the null hypothesis states there is no association(relationship)present in the population and the appropriate statistical test is applied to test this hypothesis.
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61
The column percentages table divides the raw frequencies by the column total raw frequency.
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62
In reporting correlation findings,researchers should keep in mind that they must adhere to the marketing research industry standard on how to report statistically significant correlations to clients.
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63
The correlation coefficient that can be computed between two variables is a measure of the"separation"of the scatter points to the straight line.
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64
Researchers should follow a procedure for reporting correlation findings with one of the primary guidelines being that the researcher must test to determine that a significant correlation has been found before reporting it.
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65
The Pearson product moment correlation measures the circular relationship between two interval-and/or ratio-scaled variables(scale variables)such as those depicted conceptually by Venn diagrams.
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66
Any correlation that is equal to or greater than the absolute value of .20 is typically uninteresting to marketing researchers because it rarely identifies a meaningful association between two variables.
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67
Cross-tabulation can only be used for two variables;each variable must have well-defined labels.
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68
With correlation analysis,each correlation will have a unique significance level.
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69
Chi-square analysis assesses the statistical significance of monotonic associations in cross- tabulation tables.
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70
Pearson product moment correlation and other linear association correlation coefficients indicate not only the degree of association but the direction as well.
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71
Rules of thumb exist concerning the strength of a correlation based on its absolute size.
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72
Raw percentages are row frequencies divided by the grand total.
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73
In using the Pearson product moment correlation,positive correlation coefficients reveal that the relationship is increasing: Larger quantities of one variable are associated with larger quantities of another variable.
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74
It is important to note that the angle or the slope of an ellipse has everything to do with the size of the correlation coefficient.Everything hinges on the width of the ellipse.
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75
Within the guidelines on the reporting of correlation findings,marketing researchers usually have a"target"or a"focal"variable in mind,and they look at correlations of other variables of interest with this target variable.
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76
A cross-tabulation table is sometimes referred to as an"r × c"(r-by-c)table.
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77
The correlation for a ball-shaped scatter diagram is zero because there is no discernable linear relationship.
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78
In using the Pearson product moment correlation,negative correlation coefficients reveal that the relationship is opposite: As one variable increases,the other variable increases.
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79
A cross-classification table can have four types of numbers in each cell: frequency,raw percentage,column percentage,and row percentage.
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80
The frequencies table(often referred to as the observed frequencies table)contains calculated numbers determined from the completed tabulation.
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