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What forms the basis of your decision to conclude that a numerical value of a variable you have calculated is significant or not significant at the 0.1 percent or 0.5 level in a regression analysis?
Wiki User
∙ 11y ago
You start of with a null hypothesis according to which the variable has some specified distribution. Some of the parameters of this distribution may need to be estimated using the observed data. Against this hypothesis you will have an alternative hypothesis about the distribution of the variable.
You then assume that the null hypothesis is true and calculate the probability that the variable (or a test statistic based on that variable) has the observed numerical value or one that is more extreme. (In deciding what is more extreme you need to know the alternative hypothesis.) If that probability is less than 0.1 % then the result is significant at 0.1% - and so on.
Wiki User
∙ 11y ago
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Which of the two values consider more correct the round off or calculated value?
The calculated value. But only to the extent that the number of significant figures in the answer can be justified by the number of significant figures in the components, and the operations used. Numerical analysis, a branch of mathematics, deals with these issues.
What does one have to do before a regression analysis?
Before undertaking regression analysis, one must decide on which variables will be analysed. Regression analysis is predicting a variable from a number of other variables.
What is the adjective of the word regression?
of, pertaining to, or determined by regression analysis: regression curve; regression equation. dictionary.com
What is the difference between classical regression analysis and spatial regression analysis?
how can regression model approach be useful in lean construction concept in the mass production of houses
Daily example of numerical analysis?
numerical analysis application
Who is the founder of regression analysis?
Galtan
What is a regression analysis?
Regression analysis is a statistical technique to measure the degree of linear agreement in variations between two or more variables.
What is beta score and how is it calculated?
The beta score is a calculation of a security's tendency to change according to the prevailing market movements. A regression analysis of previous performances is calculated in order to reach a beta score.
What is p value in regression analysis?
The p value is NOT a probability but a likelihood. It tells you the likelihood that the coefficient of a variable in regression is non zero. The p-value is: The probability of observing the calculated value of the test statistic if the null hypothesis is true
When was Siam Journal on Numerical Analysis created?
SIAM Journal on Numerical Analysis was created in 1964.
What has the author Howard E Doran written?
Howard E. Doran has written: 'Applied regression analysis in econometrics' -- subject(s): Econometrics, Regression analysis
What has the author Peihua Qiu written?
Peihua Qiu has written: 'Image processing and jump regression analysis' -- subject(s): Regression analysis, Image processing
