Y, = Po+P,X1+P2X2+ u ch of the following describes how to test the null hypotheses that either B, = 0 or B2 = 0? A. Compute the standard errors, the t-statistic and the p-value for each, B, and B,. Reject the null hypothesis if the p-value is less than some relevant signific level. B. Compute the standard errors, the correlation between B, and ß2, the F-statistic, and the p-value associated with the F-statistic. Reject the null hypothesis p-value is less than some relevant significance level. C. We fail to reject the null hypothesis only if either estimated coefficient, B, or B, is precisely equal to zero. D. We fail to reject the null hypothesis only if both estimated coefficient, B, and B2, are precisely equal to zero. ich of the following describes how to test the null hypothesis that B, = 0 and B, = 0? A. Compute the standard errors, the correlation between B, and ß2, the F-statistic, and the p-value associated with the F-statistic. Reject the null hypothesis p-value is less than some relevant significance level. are precisely equal to zero. B. We fail to reject the null hypothesis only if both estimated coefficient, B, and B C. We fail to reject the null hypothesis only if either estimated coefficient, B, or B,, is precisely equal to zero. ck to select your answer.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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