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Stress-strain power curve coefficient, K, numerically equal to the extrapolated value of true stress at a true strain of 1.00.
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Linear expansion apparatus?
Linear expansion apparatus is the apparatus used to measure the objects to these following properties: -> coefficient linear expansion -> coefficient thermal expansion -> specific gravity -> specific heat -> thermal conductivity -> thermal resistivity -> breaking strength and many others..
What is the average value of coefficient of velocity in a submerged orifice?
coefficient of velocity is 0.97 coefficient of discharge is varied from 0.80 to 0.64 coefficient of contraction is 0.64 thanks to me later .do your assignments
What is the coefficient in 6n 3?
6 is the coefficient, n is the variable, 3 is the constant
What factors determine the coefficient of friction?
quality of the Surface is affected to the Coefficient of friction
What is coefficient of cubical expansivity?
The coefficient of cubical expansivity would normally be the cube of the coefficient of linear expansivity unless that coefficient is different in different directions for a material. In that case it would be the product of the linear coefficients in the different directions.
What are the two things A correlation coefficient represents?
A correlation coefficient represents the strength and direction of the relationship between two variables. It measures how closely the two variables are related to each other.
What is regression coefficient and correlation coefficient?
The strength of the linear relationship between the two variables in the regression equation is the correlation coefficient, r, and is always a value between -1 and 1, inclusive. The regression coefficient is the slope of the line of the regression equation.
What is a correlation coefficient?
A correlation coefficient is a statistic that measures the strength and direction of a relationship between two variables. It ranges from -1 to 1, with 1 indicating a perfect positive relationship, -1 indicating a perfect negative relationship, and 0 indicating no relationship between the variables.
Can the correlation coefficient be represented as a percentage?
No, the correlation coefficient is a measure of the strength and direction of the linear relationship between two variables, and it ranges from -1 to 1. It cannot be represented as a percentage.
What is the interpretation of yule s coefficient of association?
Yule's coefficient of association measures the strength and direction of association between two binary variables. It ranges from -1 to +1, with higher values indicating a stronger association. A coefficient of 0 suggests no association between the variables.
How would you describe a Correlation Coefficient in your own words?
The strength of the relationship between 2 variables. Ex. -.78
does The strength of the correlation between two variables depend on the sign of the coefficient of correlation?
No, it depends upon the size of the coefficient of correlation: the closer to ±1 the stronger the correlation.When the correlation coefficient is positive, one variable increases as the other increases; when negative one increases as the other decreases.
What 2 factors determine the strength of the friction between 2 surfaces?
On a flat surface it would be the friction coefficient and the weigh of body.
Why is phosphor mixed in bronze?
Phosphorus is added as an deoxidizing agent. Also improve the strength, toughness an d can lower the coefficient of friction.
What do you call a measure of the strength and direction of the relationship between two variables or data sets?
A measure of association. You might be thinking of the correlation coefficient in particular.
What s a number that is multiplied by a variable?
A coefficient, possibly.A coefficient, possibly.A coefficient, possibly.A coefficient, possibly.
Linear expansion apparatus?
Linear expansion apparatus is the apparatus used to measure the objects to these following properties: -> coefficient linear expansion -> coefficient thermal expansion -> specific gravity -> specific heat -> thermal conductivity -> thermal resistivity -> breaking strength and many others..
