After providing its sales force with Super Duper Sales Training in January 2020, the XYZ company wants to explore whether sales revenue increased in 2020. Therefore, it compared its 2020 sales revenue to its 2019 sales revenue. What is the dependent variable? a. year b. the sales people c. the XYZ company d. sales training e. sales revenue

Two companies report a 15% gain in online sales over the last year. Suppose Company Q had 25 online sales and Company Z had 150 online sales last year. Sam says that they have the same growth while Anna says that they do not.  Who is correct?  Justify your answer using absolute change and percent change.

A marketing manager for a large cafeteria chain wished to investigate sales of coffee (i.e., sales is the variable she is trying to understand). Fourteen cafeterias that were similar in such respects as volume of business, type of clientele, and location were chosen for data collection. Data were collected on sales of coffee (in hundreds of gallons) and the number of coffee dispensers within the cafeteria. The results are shown below.   Sales Number of Dispensers 631.9 1 628 1 692.5 2 688.4 2 747.4 3 773.3 3 791.4 4 803.4 4 838.7 5 879.6 5 881 6 841.1 6 860.6 7 883.8 7 Create a scatter plot and then fit a quadratic model to predict sales from the number of dispensers. If we define y to be sales (in hundreds of gallons) and x to be the number of dispensers, what is the correct quadratic model?   Group of answer choices   a. y=-6.397x2+92.85x+538.06   b. y=41.67x+614.829   c. y=0.022x-12.979   d. y=3.348x10-5x2-0.0292x+6.09   e. y=623.521x0.180

Use excel in this question: The Motion Picture Distributors Association of Australia collects yearly data on gross box office takings of the films in Australia. Data is provided here for the years 1990-2004. (Unfortunately more recent data is not readily available.) Is the highest box office takings for a film related to the number of films screened in Australia that year? Year No. of films screened Highest box office ($ million) 1990 252 26.1 1991 240 19.22 1992 229 18.73 1993 259 31.74 1994 252 24.65 1995 253 17.93 1996 281 29.29 1997 285 22.7 1998 273 47.33 1999 255 38.72 2000 250 30.72 2001 245 32.05 2002 258 33.81 2003 268 37.14 2004 318 50.35   1. Produce a scatterplot of the relevant data. Comment on the appropriateness of analysing this data using a linear regression model.  2. Use the statistics from a regression analysis of this data to evaluate the evidence for a useful predictive linear relationship between the two variables at the 5%…

Cyber Security Systems had sales of 4,100 units of $95 per unit last year. The marketing manager projects a 30 percent increase in unit volume sales this year with a 20 percent price increase. Returned merchandise will represent 15 percent of total sales. What is your net dollar sales projection for this year?

Suppose Country A spent $50$⁢50 billion on national defense in 2012, which was 10%10% of total government spending. In 2013, Country A's total government spending increased by $60$⁢60 billion compared to 2012. Determine the value of healthcare expenditures in 2013 if they were 5%5% of total government spending.

A statistician modeled the average private law school tuition in two ways. According to both models, the tuition in 2011 was about $40, 000. In one model, the tuition increased by $1750 per year. In the other, the tuition increased by 5% per year. What would be the difference between these models in the year 2013?

Olson Public Relations is promoting a new toy for Snidey Consumer Products. The chart below shows the staff titles and corresponding billing rates of the 5 team members working on this campaign. If one $50 an hour? Olson PR Staff Titles Billing Rate Vice President $240 Account Director $225 Account Executive $125 Assistant Account Executive $100 $50 Intern Preview

The boxplots show data for state and local community expenditures on hospitals and highways. Hospitals Estimate Q1, Q2, and Q3 for hospital and highway spending. Highways Billions of Dollars

A company's sales in Seattle were $390,000 in 2012, while their sales in Portland were $270,000 for the same year. Complete the following statements:a. Seattle's sales were  % larger than Portland's.b. Portland sales were  % smaller than Seattle's.c. Portland sales were  % of Seattle's.Give answers accurate to at least one decimal place.