Partial f-statistic and t-statistics

Reference no: EM131009392

Do the partial F-statistic and t-statistics have to agree? For example, consider adding two explanatory variables W and U to a regression. In words, explain why it is possible for the partial F-test to reject H0: bW = bU = 0 but for neither t-statistic to be statistically significant (and hence not reject either H0: bW = 0 or H0: bU = 0). Exercise 41 has a numerical example.

Reference no: EM131009392

Questions Cloud

Does mary research involve a theory of correlation : Does Mary's research involve a theory of correlation, causation, or both? Provide reasoning to support your choice. Is this an example of applied or pure research? Does it involve primary or secondary research? Explain your answers

Statistical significance of changes : The statistical significance of changes to R2 depends on the size of R2. In both examples, consider the benefit of adding three explanatory variables to a regression that already contains two explanatory variables. Assume that the regression is fi..

Coefficient of the dummy variable for restaurants : In the example of this chapter, the coefficient of the dummy variable for restaurants (identified as Services-Eating and Drinking) is 244.06 when wholesalers define the baseline category in Table 3. e = 11 - R 2sy .)

How could she have gone about her task : The test has a mean of 48 and a standard deviation of 7. Parents have trouble understanding the meaning of a score on this scale, and my friend wanted to convert the scores to a mean of 80 and a standard deviation of 10 (to make them more like the..

Partial f-statistic and t-statistics : Do the partial F-statistic and t-statistics have to agree? For example, consider adding two explanatory variables W and U to a regression.

Analyze corporate financial data for multiple companies : Analyze the roles and responsibilities of financial managers in confirming compliance with federal and shareholder requirements - Analyze corporate financial data for multiple companies in evaluating past and future financial performances

Partial f-statistic for removing that one variable : Pick a multiple regression. Compare the t-statistic for a coefficient with the partial F-statistic for removing that one variable. How are they related?

How would you go about finding the cutoff for the bottom : Unfortunately, the whole world is not built on the principle of a normal distribution. In the preceding exercise the real distribution is badly skewed because most children do not have language problems and therefore produce all constructions cor..

Explanatory variables in the regression : A modeler has omitted an explanatory variable that is related to the response but not correlated with the explanatory variables in the regression. The modeler's regression has se = 135. The explanatory variable has s = 15 and slope b = 3. How wil..

User Account

All Pages