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NEW QUESTION: 1
Consider the following argument: "The cost of common stock should decrease as the dividend payout is increased because investors are more certain of receiving these dividends than the capital gains which are supposed to be derived from retained earnings." This statement applies best to which of the following financial theories? Choose the best answer.
A. Dividend Relevance Theory
B. Dividend Irrelevance Theory
C. Tax Irrelevance Theory
D. Tax Preference Theory
E. Bird-in-hand Theory
Answer: E
Explanation:
Explanation/Reference:
Explanation:
The Bird-in-the-Hand Theory came about as a refutation of Modigliani and Miller's Dividend Irrelevance Theory. The founders of the Bird-in-the-Hand Theory, Myron Gordon and John Lintner, stated that investors are more confident in the fact that they will receive dividends versus capital gains. So said, the cost of common stock should decrease as the payout ratio is increased.
The Tax Preference Theory states that investors prefer capital gains to dividends, and this is due to the structure of tax rates. Specifically, dividends are typically taxed at a higher rate than capital gains, and are in this respect less attractive.

NEW QUESTION: 2
You have a model with a large difference between the training and validation error values.
You must create a new model and perform cross-validation.
You need to identify a parameter set for the new model using Azure Machine Learning Studio.
Which module you should use for each step? To answer, drag the appropriate modules to the correct steps.
Each module may be used once or more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Split data
Box 2: Partition and Sample
Box 3: Two-Class Boosted Decision Tree
Box 4: Tune Model Hyperparameters
Integrated train and tune: You configure a set of parameters to use, and then let the module iterate over multiple combinations, measuring accuracy until it finds a "best" model. With most learner modules, you can choose which parameters should be changed during the training process, and which should remain fixed.
We recommend that you use Cross-Validate Model to establish the goodness of the model given the specified parameters. Use Tune Model Hyperparameters to identify the optimal parameters.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sample

NEW QUESTION: 3
How can sellers help customers during the adopt phase of the software lifecycle?
A. Anticipate future requirements and prepare accordingly.
B. Assist customers to become comfortable with their new software.
C. Help customers manage their assets.
D. Develop an activation strategy and development plan.
E. Identify new opportunities for services.
Answer: E