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How is the value of the correlation coefficient related to the accuracy of the predicated value for a specific value x?
The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.
The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.
The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.
The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.
What else can I help you with?
Define a specific rate constant?
The specific rate constant a proportionally determined constant that is usually different for various reactions with changes in temperature.
What variable represents specific heat in the equation mcT?
variable c
Define The LIMIT as in Calculus?
The term "limit" in calculus describes what is occurring as a line approaches a specific point from either the left or right hand side. Some limits approach infinity while some approach specific points depending on the function given. If the function is a piece-wise function, the limit may not reach a specific value depending on the function given. For a more in-depth definition here is a good link to use: * http://www.math.hmc.edu/calculus/tutorials/limits/
How do you calculate pressure in hyrdraulic system?
The pressure in a hydraulic system varies you need to be specific about the changes in volumes, temperatures and the hydraulic fluids involved.
How many degrees will J raise the temperature of g of water?
To determine how many degrees J will raise the temperature of g of water, we need to use the specific heat capacity formula: ( Q = mc\Delta T ), where ( Q ) is the heat added (in joules), ( m ) is the mass of the water (in grams), ( c ) is the specific heat capacity of water (approximately 4.18 J/g°C), and ( \Delta T ) is the change in temperature (in °C). Rearranging the formula gives ( \Delta T = \frac{Q}{mc} ). Without specific values for Q and g, we cannot calculate the exact change in temperature.
How do you operate functions?
The PEARSON(array1, array2) function returns the Pearson product-moment correlation coefficient between two arrays of data. See related links for specific instructions.
Difference between regression coefficient and correlation coefficient?
difference between correlation and regression?(1) The correlation answers the STRENGTH of linear association between paired variables, say X and Y. On the other hand, the regression tells us the FORM of linear association that best predicts Y from the values of X.(2a) Correlation is calculated whenever:* both X and Y is measured in each subject and quantify how much they are linearly associated.* in particular the Pearson's product moment correlation coefficient is used when the assumption of both X and Y are sampled from normally-distributed populations are satisfied* or the Spearman's moment order correlation coefficient is used if the assumption of normality is not satisfied.* correlation is not used when the variables are manipulated, for example, in experiments.(2b) Linear regression is used whenever:* at least one of the independent variables (Xi's) is to predict the dependent variable Y. Note: Some of the Xi's are dummy variables, i.e. Xi = 0 or 1, which are used to code some nominal variables.* if one manipulates the X variable, e.g. in an experiment.(3) Linear regression are not symmetric in terms of X and Y. That is interchanging X and Y will give a different regression model (i.e. X in terms of Y) against the original Y in terms of X.On the other hand, if you interchange variables X and Y in the calculation of correlation coefficient you will get the same value of this correlation coefficient.(4) The "best" linear regression model is obtained by selecting the variables (X's) with at least strong correlation to Y, i.e. >= 0.80 or
How do you operate Pearson function?
The PEARSON(array1, array2) function returns the Pearson product-moment correlation coefficient between two arrays of data. See related links for specific instructions.
Is there a correlation between viscosity and specific gravity?
No
What fallacy is described assuming there is no correlation between two events there is also a casual relationship?
Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.
What is the cubical coefficient of thermal expansion for metals?
Since most metals are isotropic, the cubical coefficient of expansion is three times the linear coefficient of expansion. The linear coefficient of expansion is obtained from measurement and tables for the specific material which are readily available.
What is absorption coefficient of iron?
The absorption coefficient of iron depends on the specific conditions, such as the wavelength of the incident radiation or the form of iron being used. In general, iron has a moderate absorption coefficient, meaning it can absorb a significant amount of radiation but may not be as efficient as some other materials. Measurements must be taken under specific conditions to accurately determine the absorption coefficient for a given application.
What is the coefficient of friction of rubber on cardboard?
The coefficient of friction between rubber and cardboard can vary depending on the specific materials and conditions involved. Generally, it ranges from 0.2 to 0.6.
What is the coefficient of friction between steel and aluminum?
The coefficient of friction between steel and aluminum typically ranges from 0.47 to 1.0, depending on the specific materials and surface conditions.
What is numeric coefficient?
a feature arising on nominal similar to collectives but referring to a specific amount
How do you determine an energy coefficient?
Hydraulic energy coefficient is: EnD=E/(n*D)2 where EnD is the energy coefficient E is the specific hydraulic energy (J/kg) n is the rotational speed (rpm) D is the diameter (m).
What is the coefficient for water in the balance equation?
The coefficient for water in a balanced chemical equation depends on the specific reaction being described. For example, in the combustion of methane, the balanced equation is: CH4 + 2O2 -> CO2 + 2H2O In this case, the coefficient for water is 2.
