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.

What is the term for data about the data?

Based on these regression results from Lab 5.6 Excel: Forecasting Product Demand Using Regression, which independent variables are significantly related to forecast demand?

A business analyst, who has four teenagers ranging from 13 to 19 years old, is studying the marketing preferences of teenagers. To collect data, the business analyst throws a huge outdoor summer bash for all of her kids’ friends. As part of the bash, the teenagers play a game that allows the business analyst to collect the necessary data. What type of sampling method was used to collect data?

A new business, CoolIT, sells items to keep you cool when outside. Its products include coolers, generators, floats, and other water accessories designed to beat the heat. CoolIT has been spending money on innovative advertising in hopes of increasing its sales revenue. A CoolIT business analyst ran a regression using 36 months of data using the Excel Data Analysis Toolpak. The output is shown below. Using the regression output, what is projected sales revenue if CoolIT spends $10,000 on advertising?

Which type of question does diagnostic analytics address?

According to Eric Schmidt, CEO of Google says, How many days does it take to create as much information as we did from the dawn of civilization up until 2003?

Based on these time series analysis results from Lab 5.5 Power BI, Forecasting Product Demand, estimate the amount of product demand in the final month forecasted.

Which common visualization type would be used to compare values?