Evaluating the relationship between R&D expenditures and net income is an example of the diagnostic analytics of:

The following sales forecast was generated in Excel. What is line C?

Which common visualization type would be used to evaluate the composition of values?

Based on these time series analysis results from Lab 5.3 Excel, Forecasting Product Demand using Time Series Analysis, what is the maximum amount of product demand that can be expected in 2026-12-01?

Diagnostic Analytics emphasizes “What happened?”.

Suppose a company has access to high quality data (not biased), but the data is five years old. Which quality of information might it be lacking?

As compared to raw data, aggregated data gives the analyst the greatest ability to select the most relevant data.

Assume that a company, UGrowIt, helps people who are new to growing vegetables or have not been successful at growing vegetables in the past. UGrowIt travels to people’s gardens and provides gardening advice on how to get started, eliminate pests and insects, or troubleshoot other gardening problems. The company sent a survey to each of its 10,000 customers to see how satisfied customers are with the company. 2,500 customers responded to the survey. Using the collected data, UGrowIT determined that the average satisfaction is 9.2 out of a possible 10.0 (the highest) for respondents. What is 9.2?

A company’s descriptive statistics are appropriately compared to either 1) the economy as a whole, 2) the company’s respective industry, 3) competitors and 4) the company’s prior performance.