Question: Without explanation 6. In multiple regression analysis, the error is the absolute difference between the actual value of y and the predicted value of y.

 Without explanation 6. In multiple regression analysis, the error is the

Without explanation

6. In multiple regression analysis, the error is the absolute difference between the actual value of y and the predicted value of y. True [ ] False [ ] 7. The following regression model has been computed based on a sample of twenty observations: Y^= 34.2 +19.3 X. Given this model, the predicted value for y when x = 140 is 806.2. True [ ] False C ] 8. If two variables are related in a positive linear manner, the scatter plot will show points on the 8.x space that are generally moving from the lower right to the upper left. True [ ] False { ] 9. When a pair of variables has a positive correlation, the slope in the regression equation will always be negative. True ( ] False [ ] 10. The higher the level of confidence, the narrow the confidence interval must be. True [ ] False [ ]

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