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How can you find a linear relation between time t and another variable containing Vc in an RC circuit and then use linear regression to find the slope and intercept of these two variables?
Wiki User
∙ 15y ago
-τ(ln (Vo-Vc/Vo)=t Mgk is that all
Wiki User
∙ 15y ago
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What is multiple correlation coefficient and partial correlation coefficient?
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.
How would you find the equation for a linear function when you are given a table of values for the variables?
If the figures in the table are exact and without measurement error then take any two of the points (x1, y1) and (x2, y2) and use these to form the linear relation y - y1 = ((y2 - y1)/(x2 - x1))(x - x1) If, however, you suspect that the values in the table do not exactly follow a linear relationship then use linear regression for which formulae are provided in wikipedia.
What is the domain of the inverse of a relation?
The domain of the inverse of a relation is the range of the relation. Similarly, the range of the inverse of a relation is the domain of the relation.
What is the Difference between relation schema and relation instance?
difference between relation sehema and relation instance in dbms
What is the slope-intercept form of a line?
Slope-intercept form is one way of expressing a linear function (a fancy name for a straight line) as an equation.The slope-intercept form is modeled in the following way:y=mx+bwhere m represents the slope of the line and brepresents the y-intercept.Slope represents rate of change (how much y values change in relation to x) and on a graph determines how "sloped" a line is. Values of m close to 0 mean the line is more horizontal, or less sloped. As m approaches negative infinity or positive infinity, the line becomes more vertical, or more sloped.The y-intercept is simply the coordinate where the line crosses the y-axis on a Cartesian Plane. The point is (0, b).The slope-intercept method is popular because of its convenience. Using it, a graph of the line can be constructed very easily by hand without having to rearrange the equation. That said, in practical applications where computer software or graphing calculators are used, the form of a linear equation is less important. Slope-intercept form is often used by teachers and school textbooks.
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 relation between Sample and population regression function?
The sample regression function is a statistical approximation to the population regression function.
What is the difference between correlation analysis and regression analysis?
In linear correlation analysis, we identify the strength and direction of a linear relation between two random variables. Correlation does not imply causation. Regression analysis takes the analysis one step further, to fit an equation to the data. One or more variables are considered independent variables (x1, x2, ... xn). responsible for the dependent or "response" variable or y variable.
Is there any relation between regression and linear equation?
Yes.
When is the correlation coefficient zero?
when there is no relation between the variables
What inverse relation means?
Two variables, X and Y, are in inverse relation if X*Y = a constant.
Why are variables important to science?
Because mathematical formulas can only describe dynamic changes if some elements (variables) vary in relation to other variables.
Requirements of regression analysis in statistics?
You may get more ideas from wikipedia under regression analysis. You can do a regression analysis with as little as 2 x,y points- but is it meaningful? Requirements for valid or meaningful relationships can be subjective. However, in my opinion, if meaningful relationships are to be created using regression analysis, the following are important: a) The independent variable should have values that are independent (no relation exists between them). b) There should be a good rational or experimental basis for identifying the independent variables and the resultant dependent variable. c) Sufficient data should be collected in a controlled environment to identify the relationship. d) The validity of the relationship should easy to identify both visually and by numbers (see "goodness of fit" tests).
Abut maxwell's thermsodynamic relation and its application?
Certain variables in thermodynamics are hard to measure experimentally such as entropy. Maxwell relations provide a way to exchange variables
13 What is the relation between dependent and independent variables?
Independent variables are those that you change in an experiment. Dependent variables are the ones that you measure in an experiment. Dependent variables are influenced by the independent variables that you change, so they are dependent upon the independent variable. Generally, experiments should have only one independent variable.
What is biochemical correlation?
Biochemical correlation refers to the statistical relation between two or more biochemical variables.
How did Edwin Hubble measure the distance to the Andromeda Galaxy?
He applied the period-luminosity relation to Cepheid variables.
