It is the same. ADC=MD.
An astrometer is a device designed to measure the brightness, relation, or apparent magnitude of stars.
ilkovic equation gives us the chance to know what is the potential difference of any system.the potential difference can easily be calculated with the help of Hg-drop!there is an equation with the help of which we can know very other things except the potential difference!
terminal velocity is forces balanced force down = mass * g (newtons) force up = v^2 * drag coefficient (newtons) m*g = v^2*dc dc=(m*g)/v^2
It is an injective relation.
No
The correlation coefficient is zero when there is no linear relationship between two variables, meaning they are not related in a linear fashion. This indicates that changes in one variable do not predict or explain changes in the other variable.
The increase in density will decrease the rate of diffusion. There is an inverse relation between density and rate of diffusion.
yes,according to relation coefficient of linear expansion depends upon original length.
The relation is:k is the reaction rate coefficient.
A coefficient is a number written in front of a chemical formula when balancing a chemical equation. The coefficient can represent the number of atoms, molecules, formula units, or moles of the substance.
An astrometer is a device designed to measure the brightness, relation, or apparent magnitude of stars.
The coefficient of kinetic energy is a constant for friction acting as a retarding or dissipative force to calculate the total force on the object. The coefficient of friction u is represented in equation by the relation F = u*N, where N is the normal force.
The nominal variant will be for males (1) and for females (3) to identify the relation in the study.
The Matthew correlation coefficient considers true and false positives and negatives. The specificity correlation only considers the true classes or rejections.
partial correlation is the relation between two variable after controlling for other variables and multiple correlation is correlation between dependent and group of independent variables.
Strength and direction of linear relation. Closer to 1 is positive linear association, closer to -1 is positive negative association and closer to 0 means no linear relation. Remember that 0 does not mean that there is no relation - just no linear relation.
The correlation coefficient is unaffected by change of origin or scale unless one of the sets of variables is multiplied by a negative term, in which case the correlation coefficient will become negative.