10. Suppose A, B, and C are vector functions whereas 1, w, and are scalar functions, which of these is correct A. VV.Vx B = v?v × B B. VA Vỹ = Vx až C. A B·Vx C = V x C • [B·A] D. A+ Vw = VA – w = 0
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Hi, what's the answer here?
Determine each of the given options for their correctness.
Option (A):
On the left hand side:
results in and thus the dot product of and results in a scalar quantity.
On the right hand side:
times the resultant vector of is also a scalar quantity which is equal to quantity on left hand side.
Hence, option (A) is correct.
Option (B):
On the right hand side, cross product is applied to a vector(dell operator) and a scalar quantity () which is not feasible in vectors.
Hence, option (B) is incorrect.
Option (C):
On the right hand side, cross product of a vector and a scalar is not possible.
Hence, option C is also incorrect.
Option (D):
and are equal to zeros. Then,
and
But, is possible only when and . In other cases this is not possible.
Hence, option (D) is also incorrect.
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