Correlative subsumption in classroom application? explain
1. Correlative subsumption in classroom application? explain
Correlative subsumption refers to the elaboration, extension, or modification of the previously learned concept or propositions by the subsumptions of the incoming idea
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2. explain Ausubel’s subsumption theory.
According to Ausubel’s Subsumption Theory, a learner absorbs new information by tying it to existing concepts and ideas that they have already acquired. Rather than building an entirely new cognitive structure, they are able to relate it to information that is already present within their minds.
When an idea is forgotten, it is simply because the specific details and associated thoughts get lost in the crowd and can no longer be differentiated from other pieces of information. Based upon this theory, meaningful learning can only occur once the subsumed cognitive structures have been fully developed.
3. according to aisubel's subsumption theory
Answer:
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4. the correlation coefficient between two variables is negative 89 which of the following best describes the correlation A.there is a very high negative correlation B.no correlation since the coefficient is negative C.there's a very low correlationD. the correlation is unknown
Answer:
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LETTER A.#CarryOnLearningQuestion;The correlation coefficient between two variables is negative 89 which of the following best describes the correlation.
Answer;A. There is a very high negative correlation.
Hope that will help...5. when can a correlation be no or zero correlation
Answer:
here is the answer
Explanation:
If the correlation coefficient of two variables is zero, there is no linear relationship between the variables. However, this is only for a linear relationship. It is possible that the variables have a strong curvilinear relationship.
Answer:
If the correlation coefficient is greater than zero, it is a positive relationship. Conversely, if the value is less than zero, it is a negative relationship. A value of zero indicates that there is no relationship between the two variables.
Explanation:
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6. A. Strong negative correlationB. Strong positeve correlationC. Moderate positive correlationD. Low negative correlationE. Zero correlation
Answer:
D
Step-by-step explanation:
low nagative correlation
7. 4.From the given data in number 2, what is the strength of correlation from thetwo variables?A. no correlationC. weak positive correlationB. negligible positive correlation D strong positive correlation
Answer:
4) C.weak positive correlation
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8. what's in check your ignis for this lesson by answering the following exercise a sketch the scatterplot of the following in the shows number one strong positive correlation to weak positive correlation 3 perfect negative correlation for no correlation
Answer:
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9. Who is the proponent of the subsumption theory?
David Ausubel
The Subsumption Learning Theory was developed in 1963 by the American psychologist David Ausubel. The theory focuses on how individuals acquire and learn large chunks of information through visual means or text materials.
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10. In a ____________, high values in one variable correspond to high values in the other variable. Select one: a. Negative Correlation b. Perfect Correlation c. Scattered Correlation d. Positive Correlation
Answer:
positive correlation
11. Which of the following correlation coefficient (r) is the strongest correlation?
Answer:
r = 1.0
The strongest correlations (r = 1.0 and r = -1.0 ) occur when data points fall exactly on a straight line. The correlation becomes weaker as the data points become more scattered
12. What are the similarities of positive correlation, negative correlation and zero correlation. pahelp po Asap, Tsym
Answer:
In the financial markets, the correlation coefficient is used to measure the correlation between two securities. For example, when two stocks move in the same direction, the correlation coefficient is positive. Conversely, when two stocks move in opposite directions, the correlation coefficient is negative.
Explanation:
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13. 3. What kind of correlation exists when two variables have no relationship with each other?A. Strong Negative correlation B. Strong Positive correlationC. Negative correlationD. No Correlation
Answer:
D
Explanation:
14. A principle that geologists use to determine the age of rock.-fossil correllation-physical correlation -mineral correllation -index fossils
Answer:
radiometric dating methods
To establish the age of a rock or a fossil, researchers use some type of clock to determine the date it was formed. Geologists commonly use radiometric dating methods, based on the natural radioactive decay of certain elements such as potassium and carbon, as reliable clocks to date ancient events.
15. when can a correlation be positive? negative? or no or zero correlation
Answer:
Remember that a correlation can be positive, negative or zero. The latter means that there is no correlation between the two variables. A negative number means a negative correlation. In a scatterplot, a negative sloping line represents a negative correlation.
Explanation:
16. The graph below describes a ______________________ correlation.Select one:a.Inverse Correlationb.Perfect Negative Correlationc.Downline Correlationd.Perfect Positive Correlation#OEDISLIFEPASAGOT PO WITH RESPECT POMADAMING MGA MANGLOLOKO
Answer:
C. DOWN LINE CORRELATION
Step-by-step explanation:
BASE ON MY OPINION
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17. what is the difference between high positive correlation and high negative correlation
Positive correlation describes the relationship between two variables which change together, while an inverse correlation describes the relationship between two variables which change in opposing directions.
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18. give some example of negative correlation. and zero or no correlation
Answer:
An example of negative correlation would be height above sea level and temperature. As you climb the mountain (increase in height) it gets colder (decrease in temperature). A zero correlation exists when there is no relationship between two variables. For example there is no relationship between the amount of tea drunk and level of intelligence.
Correlation Definitions, Examples & Interpretation | Simply
Explanation:
19. The graph below describes a ______________________ correlation.Select one:a.Perfect Positive Correlationb.Negative Correlationc.Trending Correlationd.Perfect Increasing Correlation
Answer:
D. PERFECT INCREASING CORRELATION
Step-by-step explanation:
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20. is also referred to us coincidental correlation or correlation not causations
Answer:
The phrase "correlation does not imply causation" refers to the inability to legitimately deduce a cause-and-effect relationship between two events or variables solely on the basis of an observed association or correlation between them.
Explanation:
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21. Describe a positive correlation?A negative correlation?
Answer:
In statistics, positive correlation describes the relationship between two variables that change together, while an inverse correlation describes the relationship between two variables which change in opposing directions. Inverse correlation is sometimes described as negative correlationAnswer:Positive correlation is a relationship between two variables in which both variables move in the same direction. A negative correlation is a relationship between two variables in which an increase in one variable is associated with a decrease in the other.
22. what is the main emphasis of the subsumption Theory?
Answer:
The Subsumption Learning Theory was developed in 1963 by the American psychologist David Ausubel. The theory focuses on how individuals acquire and learn large chunks of information through visual means or text materials
23. Directions: Identify pair of variabies that fall under the following strengths anddirections of correlation. Explain your answer.Strength of CorrelationVariables involved1. Strong Positive correlation2. Moderate Positive correlation3. Strong Negative correlationpahelp po
Answer:
1. the range of SPC is 0.71- 0.99
2. MPC 0.50-0.70
3. SNC -0.71 to -0.99
Step-by-step explanation:
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24. 3. Which of the following is the strength of correlation if the value of ris +0.837a. perfect positive correlation b. perfect negative correlationc. strong positive correlationd. strong negative correlation
Answer:
C
Step-by-step explanation:
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3 A sana maka tulong25. give 2 examples of negative correlation and Zero correlation
Answer:
A negative correlation is a relationship between two variables in which an increase in one variable is associated with a decrease in the other. An example of negative correlation would be height above sea level and temperature. As you climb the mountain (increase in height) it gets colder (decrease in temperature).
A zero correlation exists when there is no relationship between two variables. For example there is no relationship between the amount of tea drunk and level of intelligence.
Explanation:
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26. The points on the graph are all on a straight line and pointing upward to theright. What is the strength of correlation?A. perfect negative correlation C. perfect positive correlationB. strong positive correlation D. strong negative correlationthe two variables is no correlation.
B. strong positive correlation D. strong negative correlation
27. 3. What kind of correlation exists when two variables have no relationship with each other?A. Strong Negative correlationB. Strong Positive correlationC. Negative correlationD. No Correlation
Answer:
A. Strong Negative Correlation
Explanation:
In general, -1.0 to -0.70 suggests a strong negative correlation, -0.50 a moderate negative relationship, and -0.30 a weak correlation. Remember that even though two variables may have a very strong negative correlation, this observation by itself does not demonstrate a cause and effect relationship between the two.
28. “A whole is more than its parts.” This is the major emphasis of what theory? a. Gestalt theory c. Bruner’s constructivist theory b. Subsumption theory d. Experiential learning theory
a. Gestalt theoryhope it helpsCary on learningpa heart and rate thanks
29. Identify whether there is positive correlation negative correlation or no correlation exists
the correct answer would be may or should the gu fam
30. what is the difference between the correlation and partial Correlation?
Answer:
The difference between bivariate correlation and partial correlation is that bivariate correlation is used to obtain correlation coefficients, basically, describing the measure of the relationship between two linear variables, while partial correlation is used to obtain correlation coefficients after controlling
Answer:
Partial correlation is the relationship between two variables while controlling for a third variable. ... You typically only conduct partial correlation when the third variable has shown a relationship to one or both of the primary variables.
Explanation:
