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NEW QUESTION: 1
A. Option B
B. Option C
C. Option D
D. Option A
Answer: C
NEW QUESTION: 2
The network manager has requested a 300-workstation expansion of the network. The workstations are to be installed in a single broadcast domain, but each workstation must have its own collision domain. The expansion is to be as cost-effective as possible while still meeting the requirements.
Which three items will adequately fulfill the request? (Choose three).
A. Seven router interfaces
B. Seven 48-port switches
C. One IP subnet with a mask of 255.255.254.0
D. Two IP subnets with a mask of 255.255.255.0
E. One router interface
F. Seven 48-port hubs
Answer: B,C,E
Explanation:
Explanation/Reference:
of 255.255.254.0 can absorb 510 hosts being 23 bits mask and also 7*48 port switches can
handle this much hosts and router interface is required to be minimum to avoid
unnecessary wastage hence the answers.
NEW QUESTION: 3
Several key statistics are used to evaluate the accuracy of a prediction using regression analysis. Which type of regression analysis descriptor BEST fits R2?
A. Test for the accuracy of the regression equation. It represents the significance level at which the user would reject the regression as inaccurate.
B. Represents a decreasing index of the reliability of the calculated result. It proves the 95% confidence level.
C. Compares the estimated and actual values of the Y dependent variable ranging from a value of 0 to 1.
D. Measures the standard deviation of variation of the observed value from the predictive value and determines error.
Answer: C
Explanation:
Several key statistics are used to evaluate the accuracy of a prediction using regression analysis. The BEST fit for R2 compares the estimated and actual values of the Y dependent variable ranging from a value of 0 to 1. Standard error measures the standard deviation of variation of the observed value from the predictive value and determines error. Significant F tests for the accuracy of the regression equation. It represents the significance level at which the user would reject the regression as inaccurate. P-Value represents a decreasing index of the reliability of the calculated result. It proves the 95% confidence level.
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