Contents
What do you mean by regression and smoothing?
Regression analysis is the term used to describe a family of methods that seek to model the relationship between one (or more) dependent or response variables and a number of… Regression and smoothing << Click to Display Table of Contents>> Navigation: »No topics above this level« Regression and smoothing
Which is the best definition of nonlinear regression?
Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a straight line (y = mx + b), while nonlinear regression relates the two variables in a nonlinear (curved) relationship.
Who is Somer Anderson and what is nonlinear regression?
Somer G. Anderson is an Accounting and Finance Professor with a passion for increasing the financial literacy of American consumers. She has been working in the Accounting and Finance industries for over 20 years. Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function.
Which is the best nonparametric method for regression?
Nonparametric regression offers a flexible alternative to classic (parametric) methods for regression.
Why do we use standardized coefficients in regression?
Standardization of the source variables (subtracting the mean for that variables and dividing by the sample standard deviation) enables the coefficients to be compared and interpreted more readily, and many software packages will cite both un-standardized and standardized coefficients.
Which is better simple linear model or simple smoothing model?
If the scattering of points either side of the best fit line is very small, so the line represents a very good fit, the simple linear model can be regarded as in some sense ‘better’ than a model for which the scatter is greater and the fit less tight.
What does correlation coefficient of + 1 mean?
Thus a correlation coefficient of +1 indicates a perfect positive relationship with no spread around the best fit line, whereas a value of 0.7, say, indicates a reasonably close relationship but there is clearly a fair amount of spread either side of the best fit line.