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 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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