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Quantile regression is considered a natural extension of ordinary least squares. Instead of estimating the mean of the regressand for a given set of regressors, and instead of minimizing sum of squares, it estimates different values of the regressand across its distribution, and minimizes instead the absolute distances between observations.
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Simple regression and multiple regression?
Simple regression is used when there is one independent variable. With more independent variables, multiple regression is required.
If the regression sum of squares is large relative to the error sum of squares is the regression equation useful for making predictions?
If the regression sum of squares is the explained sum of squares. That is, the sum of squares generated by the regression line. Then you would want the regression sum of squares to be as big as possible since, then the regression line would explain the dispersion of the data well. Alternatively, use the R^2 ratio, which is the ratio of the explained sum of squares to the total sum of squares. (which ranges from 0 to 1) and hence a large number (0.9) would be preferred to (0.2).
Can you obtain R-square from standardized regression model?
yes
What is another name for line of best fit?
linear regression
What is the formula of scatter graph method?
I believe it is linear regression.
What has the author Victor Chernozhukov written?
Victor Chernozhukov has written: 'Quantile regression with censoring and endogeneity' 'An IV model of quantile treatment effects' -- subject(s): Accessible book 'Rearranging Edgeworth-Cornish-Fisher expansions' 'L1-Penalized Quantile Regression in High Dimensional Sparse Models' -- subject(s): Regression analysis 'Instrumental variable quantile regression' -- subject(s): Accessible book 'Extremal quantities and value-at-risk' -- subject(s): Accessible book 'Estimation and confidence regions for parameter sets in econometric models' -- subject(s): Accessible book
What has the author Lingxin Hao written?
Lingxin Hao has written: 'Quantile regression' -- subject(s): Statistical methods, Regression analysis, Social sciences
Is the 80th percentile the same as the 0.2th quantile?
No. No. No. No.
What is quantile group?
a group of equal proportions - the definition of quantile is one of a class of values of a variate that divides the total frequency of a sample or population into a given number of equal proportions
One of the values of a variable which divides the distribution of the variable?
A quantile.
What is the adjective of the word regression?
of, pertaining to, or determined by regression analysis: regression curve; regression equation. dictionary.com
Can the lower and upper quartiles be equal?
Yes. Usually the value of the lower quantile, median, and upper quantile are in ascending order, how if for the particular set of data, if all values are the same, then these three measures can be the same.
What are the different types of regression testing?
Unit regression testing Regional regression testing Full regression testing
Simple regression and multiple regression?
Simple regression is used when there is one independent variable. With more independent variables, multiple regression is required.
What is the prefix of regression?
the prefix of regression is regress
Can regression be meassurd?
Regression can be measured by its coefficients ie regression coefficient y on x and x on y.
Another word for setback or regression?
setback or regression
