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SLIDESMANIA.COM
MINIMALISTIC CHOICE BOARD
Department of Economics, Entrepreneurship and Business Administration
https://econ.biem.sumdu.edu.ua/
SLIDESMANIA.COM
s. We can build these lessons together and I am happy to model, co-teach, observe, and/or provide feedback to help you
succeed!
Types and forms of correlation relationships between
phenomena
In statistics, a functional relationship and stochastic dependence are distinguished.functional call such
a connection in which a certain value factor attribute corresponds to only one value of the resultant
attribute. If a causal dependence does not appear in each individual case, but in general, on average,
with a large number of observations, then such a dependence is calledstochastic . A special case of a
stochastic connection iscorrelation a connection in which the change in the average value of the
effective attribute is due to the change in factor signs.
SLIDESMANIA.COM
s. We can build these lessons together and I am happy to model, co-teach, observe, and/or provide feedback to help you
succeed!
Depending on the direction of action, a connection is distinguisheddirect and
reverse . With a direct connection, the direction of change in the resulting
attribute coincides with the direction of the attribute-factor, i.e. with an increase
in the factor attribute, the resultant one also increases and vice versa.
SLIDESMANIA.COM
s. We can build these lessons together and I am happy to model, co-teach, observe, and/or provide feedback to help you
succeed!
According to the analytical expression (form), the connections can berectilinear and
curvilinear. With a straight-line relationship with an increase in the value of the factor
attribute, there is a continuous increase or decrease in the value of the effective attribute.
Mathematically, such a relationship is represented by the equation of a straight line y
u003d a o + a 1 x, and graphically - a straight line.
SLIDESMANIA.COM
s. We can build these lessons together and I am happy to model, co-teach, observe, and/or provide feedback to help you
succeed!
● With a curvilinear relationship with an increase in the value of the factor attribute, the
increase (or decrease) of the effective attribute occurs unevenly or its direction
reverses. Geometrically, such connections are represented by curved lines (hyperbola,
parabola, etc.).
● Another important characteristic of relationships is in terms of interacting factors. If a
relationship between two features is characterized, then it is called steam room. If
more than two variables are being studied - multiple.
SLIDESMANIA.COM
s. We can build these lessons together and I am happy to model, co-teach, observe, and/or provide feedback to help you
succeed!
Relationships between phenomena established on the basis of theoretical analysis
can be studied, measured and quantified using various statistical methods. Balance
and index methods are used to study functional relationships. To study the
correlations between attributive features - the method of mutual contingency, for
quantitatively varying features - the method of parallel series, graphical method,
method of analytical groupings, correlation and regression analysis.

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Шимошенко Анастасія.pptx

  • 1. SLIDESMANIA.COM MINIMALISTIC CHOICE BOARD Department of Economics, Entrepreneurship and Business Administration https://econ.biem.sumdu.edu.ua/
  • 2. SLIDESMANIA.COM s. We can build these lessons together and I am happy to model, co-teach, observe, and/or provide feedback to help you succeed! Types and forms of correlation relationships between phenomena In statistics, a functional relationship and stochastic dependence are distinguished.functional call such a connection in which a certain value factor attribute corresponds to only one value of the resultant attribute. If a causal dependence does not appear in each individual case, but in general, on average, with a large number of observations, then such a dependence is calledstochastic . A special case of a stochastic connection iscorrelation a connection in which the change in the average value of the effective attribute is due to the change in factor signs.
  • 3. SLIDESMANIA.COM s. We can build these lessons together and I am happy to model, co-teach, observe, and/or provide feedback to help you succeed! Depending on the direction of action, a connection is distinguisheddirect and reverse . With a direct connection, the direction of change in the resulting attribute coincides with the direction of the attribute-factor, i.e. with an increase in the factor attribute, the resultant one also increases and vice versa.
  • 4. SLIDESMANIA.COM s. We can build these lessons together and I am happy to model, co-teach, observe, and/or provide feedback to help you succeed! According to the analytical expression (form), the connections can berectilinear and curvilinear. With a straight-line relationship with an increase in the value of the factor attribute, there is a continuous increase or decrease in the value of the effective attribute. Mathematically, such a relationship is represented by the equation of a straight line y u003d a o + a 1 x, and graphically - a straight line.
  • 5. SLIDESMANIA.COM s. We can build these lessons together and I am happy to model, co-teach, observe, and/or provide feedback to help you succeed! ● With a curvilinear relationship with an increase in the value of the factor attribute, the increase (or decrease) of the effective attribute occurs unevenly or its direction reverses. Geometrically, such connections are represented by curved lines (hyperbola, parabola, etc.). ● Another important characteristic of relationships is in terms of interacting factors. If a relationship between two features is characterized, then it is called steam room. If more than two variables are being studied - multiple.
  • 6. SLIDESMANIA.COM s. We can build these lessons together and I am happy to model, co-teach, observe, and/or provide feedback to help you succeed! Relationships between phenomena established on the basis of theoretical analysis can be studied, measured and quantified using various statistical methods. Balance and index methods are used to study functional relationships. To study the correlations between attributive features - the method of mutual contingency, for quantitatively varying features - the method of parallel series, graphical method, method of analytical groupings, correlation and regression analysis.