The direction of the relationship between two variables is identified by the
sign of the correlation coefficient for the variables
. Postive relationships have a “plus” sign, whereas negative relationships have a “minus” sign.
What reveals the relationship between variables along with the nature and frequency of the relationships multiple choice question?
Affinity Grouping Analysis
: Reveals the relationship between variables along with the nature and frequency of the relationships.
What reveals the relationship between variables?
The
correlation
is a single number that indicates how close the values fall to a straight line. In other words, the correlation quantifies both the strength and direction of the linear relationship between the two measurement variables.
Which of the following reveals the relationship between variables along with nature and frequency of the relationship?
Association detection
reveals the relationship between variables along with the nature and frequency of the relationships.
How do you establish a relationship between the variables in a research?
- time order: the cause must exist before the effect;
- co-variation: a change in the cause produces a change in the effect;
- rationale: there must be a reasonable explanation of why they are related;
What are the four main types of relationships between variables?
- a linear or non-linear relationship,
- a positive (direct) or negative (inverse) relationship,
- the concentration or spread of data points,
- the presence of outliers.
What expresses the strength and direction of the relationship between two variables?
The correlation coefficient
, often expressed as r, indicates a measure of the direction and strength of a relationship between two variables. When the r value is closer to +1 or -1, it indicates that there is a stronger linear relationship between the two variables.
What analyzes unstructured data to find trends and patterns in words and sentences?
Web analytics
analyzes unstructured data to find trends and patterns in words and sentences. … A record is a collection of related data elements.
What is the technique used to divide information sets?
(1)
Cluster analysis
is a technique used to divide an information set into mutually exclusive groups such that the members of each group are as close together as possible to one another and the different groups are as far apart as possible.
What is the process of analyzing data to extract information not offered by the raw data alone?
Data mining
is the process of analyzing raw data to extract information not offered by the raw data alone. The process is done through Estimation Analysis, Affinity Grouping Analysis, Cluster Analysis, and Classification Analysis.
What is it called when a manager has so much data and information that they Cannot make a decision?
What is it called when a manager has so much data and information that they cannot make a decision? …
Data rich, intelligence
.
What is fast data mis quizlet?
fast data.
the application of big data analytics to smaller data sets in near real or real time in order to solve a problem or create business value
.
Which of the following are problems associated with dirty data?
Dirty data can contain such mistakes as
spelling or punctuation errors
, incorrect data associated with a field, incomplete or outdated data, or even data that has been duplicated in the database. They can be cleaned through a process known as data cleansing.
What are two research methods for exploring the cause and effect relationships between variables?
There are two research methods for exploring the cause and effect relationship between variables:
Experimentation, and
.
Simulation
.
What is the relationship of dependent and independent variables?
The independent variable is the cause. Its value is independent of other variables in your study. The dependent variable is the effect. Its value
depends on changes in the independent variable
.
Is used to examine the relationships between variables?
Correlation tests (Pearson correlation)
are used to examine relationships between two or more quantitative/numerical variables. They measure the strength and direction of a relationship between variables.
