0
Still curious? Ask our experts.
Chat with our AI personalities
Rafa
Maxine
ProfessorAdd your answer:
Earn +20 pts
How do you explain partial and multiple correlations?
Explain the partial and multiple correlation
How many types of correlation?
There are 3 types1.positive/ negative/zero/2.linear/non-linear3.simple/multiple/partial- If the direction is same,the relationship is positive-If the direction is opposite , the relationship is negative-If the amount of change is constant in different variable it is linear-If the amount of change is not constant in different variable is non- linear-If it is establishing a relationship between two characteristic then it is simple- If it is establishing a relationship between three or more characteristic then it is multiple-If it is establishing a relationship between only one of all the variable then it is partial
What are the characteristics of a graph?
The characteristics of a line graph is that it always has a straight line. A bar graph's characteristic include bars of an equal width. Pictographs, on the other hand, has the characteristics of showing the number of an object or value of data with the use of full or partial objects.
In cases of high multicollinearity it is not possible to assess the individual significance of one or more partial regression coefficient true or false or uncertain?
The given statement is true. Reason: High multicollinearity can make it difficult to determine the individual significance of predictors in a model.
Describe the purpose of normalizing data and also list out the dependencies involved in the process of normalization?
The purpose of normalizing data in DBMS is to reduce the data redundancy and increase the consistency of data. a) Partial dependency: non-prime attribute ( field) depends on other non-prime attributes b) Functional dependency c) Transitive dependency
