A residual plot is a graph that shows the residuals on the vertical axis and the independent variable on the horizontal axis. It helps to identify non-linearity, unequal error variances (heteroscedasticity), and outliers. If the points in a residual plot are randomly dispersed around the horizontal axis, a linear regression model is appropriate for the data; otherwise, a non-linear model is more appropriate.

Two events are said to be "independent" if the occurrence of one does not affect the probability of the occurrence of the other. For example, if you toss a coin twice, the outcome of the first toss doesn't affect the outcome of the second toss, so the two events are independent.

Larger sample sizes make the Mann-Whitney U test more reliable. As with most statistical tests, a larger sample size increases the power of the test, which is the probability that it will correctly reject a false null hypothesis.

If the null hypothesis is true, but we reject it, we have made a Type I error. This is also known as a "false positive" result.

When you reject the null hypothesis in a Mann-Whitney U test, you conclude that there is a difference between the groups. More specifically, it means that it is unlikely that a randomly selected value from the first group is greater than a randomly selected value from the second group with a probability of 0.5.

Virtual machine protection in Commvault includes challenges such as supporting diverse hypervisors like VMware, Hyper-V, and Nutanix AHV. This ensures compatibility across different virtualization platforms.

The primary purpose of storage reporting and monitoring in Commvault is to track storage usage and performance metrics. This includes monitoring storage capacity, identifying trends in data growth, optimizing storage resources, and ensuring efficient data management practices. By analyzing these metrics, organizations can make informed decisions regarding storage allocation, data retention policies, and backup strategies.

Scalability and performance are closely related to Capacity Planning because the system's ability to handle increasing workloads efficiently without affecting performance is crucial for ensuring scalability. Capacity Planning involves optimizing resource utilization for sustained growth.

The primary function of Commvault is data protection, which includes backup, recovery, and archiving of data. It ensures the safety and accessibility of data in various scenarios, such as system failures, data corruption, or accidental deletion.

To optimize performance during peak usage hours, the company should implement a scale-out architecture, which involves adding more nodes or resources to the Commvault infrastructure to handle increased workload efficiently. Backup scheduling can help distribute the workload, but it may not directly address performance degradation. Bandwidth throttling and resource allocation are important but are not proactive measures specific to optimizing performance during peak usage hours.