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In Regression Analysis, testing of assumptions if these are true or not is classified as

A. weighted analysis

B. average analysis

C. significance analysis

D. specification analysis

Answer: Option C

Solution (By Examveda Team)

Regression Analysis: In regression analysis, we often make certain assumptions about the data and the relationship between variables.

Testing Assumptions: Testing whether these assumptions hold true involves various statistical tests and procedures.

Significance Analysis: One of the key aspects of this process is significance analysis, where we assess the statistical significance of the regression coefficients and other parameters to determine if the relationships observed in the data are meaningful.

Other Options:

Weighted analysis and average analysis do not specifically pertain to the testing of assumptions in regression.

Specification analysis involves checking if the model is correctly specified, but it is not the primary term used for testing assumptions.

Therefore, the correct term for testing the assumptions in regression analysis is significance analysis.

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Comments (1)

  1. Ghulam Hassan
    Ghulam Hassan:
    1 year ago

    The correct answer is C. significance analysis.

    Significance analysis is a statistical procedure used to determine whether the results of a study are statistically significant. This means that the results are unlikely to have occurred by chance. Significance analysis is often used in regression analysis to determine whether the relationship between two variables is statistically significant.

    Weighted analysis is a statistical procedure used to give more weight to data points that are considered to be more reliable. This is often done in regression analysis when some data points are considered to be more accurate than others.

    Average analysis is a statistical procedure used to calculate the average value of a set of data points. This is often done in regression analysis to calculate the average value of the dependent variable.

    Specification analysis is a statistical procedure used to determine whether the model specification is correct. This means that the model is correctly specified and that the assumptions of the model are met.

    In conclusion, the correct answer is C. significance analysis.

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