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What is a measure of the amount of variation in the observed values of the response variable explained by the regression?
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What is the difference between the logistic regression and regular regression?
in general regression model the dependent variable is continuous and independent variable is discrete type. in genral regression model the variables are linearly related. in logistic regression model the response varaible must be categorical type. the relation ship between the response and explonatory variables is non-linear.
In the regression model the predictor variable is useful in predicting the response variable provided that B1 equals 0?
Not useful
What is the difference between corelation and regression?
I've included links to both these terms. Definitions from these links are given below. Correlation and regression are frequently misunderstood terms. Correlation suggests or indicates that a linear relationship may exist between two random variables, but does not indicate whether X causes Yor Y causes X. In regression, we make the assumption that X as the independent variable can be related to Y, the dependent variable and that an equation of this relationship is useful. Definitions from Wikipedia: In probability theory and statistics, correlation (often measured as a correlation coefficient) indicates the strength and direction of a linear relationship between two random variables. In statistics, regression analysis refers to techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (also called a response variable) and of one or more independent variables (also known as explanatory variables or predictors). The dependent variable in the regression equation is modeled as a function of the independent variables, corresponding parameters ("constants"), and an error term. The error term is treated as a random variable. It represents unexplained variation in the dependent variable. The parameters are estimated so as to give a "best fit" of the data. Most commonly the best fit is evaluated by using the least squares method, but other criteria have also been used.
What is the difference between dependent and independent variables?
The independent variable is the variable being manipulated in the experiment in order to show the effect on the dependent variable. It is also called the experimental variable.The dependent variable is the variable being observed in the experiment. Changes in the dependent variable as a result of changes in the independent variable are observed, which is the purpose of the experiment. Dependent variable is also called the response variable.
What is a inderpendent variable?
Dependent variables and independent variables refer to values that change in relationship to each other. The dependent variables are those that are observed to change in response to the independent variables. The independent variables are those that are deliberately manipulated to invoke a change in the dependent variables. In short, "if x is given, then y occurs", where x represents the independent variables and y represents the dependent variables. Depending on the context, independent variables are also known as predictor variables, regressors, controlled variables, manipulated variables, explanatory variables, or input variables. The dependent variable is also known as the response variable, the regressand, the measured variable, the responding variable, the explained variable, the outcome variable, the experimental variable or the output variable. This answer was coppied onto this page by tom hills of falmouth waii
What measures the percentage of total variation in the response variable that is explained by the least squares regression line?
The coefficient of determination, also known as R-squared, measures the proportion of the variance in the dependent variable that is predictable from the independent variable(s) in a regression model. It ranges from 0 to 1, with higher values indicating a better fit of the model to the data.
What is the difference between the logistic regression and regular regression?
in general regression model the dependent variable is continuous and independent variable is discrete type. in genral regression model the variables are linearly related. in logistic regression model the response varaible must be categorical type. the relation ship between the response and explonatory variables is non-linear.
What is the variable that is observed and that changes in response to the other variable?
It is the independent variable that is observed and the dependent that is observed.
Is a typical variation on call-and-response in blues music?
Both the call and the response are given by the soloist.
Which is a typical variation on call-and-response in blues music?
Both the call and the response are given by the soloist.
How do you adapt support in response to feedback from individuals or observed reactions when eating and drinking?
Adapt support in response to an individual's feedback or observed reactions while eating and drinking
In the regression model the predictor variable is useful in predicting the response variable provided that B1 equals 0?
Not useful
What is antigenic variation?
An antigenic variation is the mechanism by which an infectious organism changes its surface proteins in favour of circumventing a host immune response.
What is an antigenic variation?
An antigenic variation is the mechanism by which an infectious organism changes its surface proteins in favour of circumventing a host immune response.
What is the object upon which the response variable is measured called?
The object upon which the response variable is measured is called experimental. The response variable is the variable whose value can be explained by the predictor variable.
What is a graded muscle response?
It is the variation of stimulation needed in skeletal muscle contraction in order to have controlled movement.
What is the variable that is observed and that changes in response to the manipulated variable?
The dependent variable is the observed one. If there is an experimental effect, then the changes you see in this variable depend on what you did to the manipulated variable.
