Given the multiple regression equation, ? = a+b1X1+b2X2, and the bivariate equation ? = a+bX1, why is the partial regression coefficient, b1,different from the regression coefficient, b, obtained by regressing Y on only X1?
What will be an ideal response?
This happens because X1 and X2 are usually correlated. In bivariate regression, X2 was not considered and any variation in Y that was shared byX1 and X2 was attributed to X1. However, in the case of multiple independent variables, this is no longer true.
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An organization has automated data transfer between two database applications. How should controls be implemented to ensure data integrity?
A. Input controls on the application sending the data, and output controls on the application receiving the data B. Input and output controls on both the sending and receiving applications C. Output controls on the application sending the data, and input controls on the application receiving the data D. Input and output controls in the application sending the data, but only input controls are necessary on the application receiving the data
The purpose of deseasonalizing a time series is that a strong seasonal pattern may make it difficult to see a trend in the time series
Indicate whether the statement is true or false