The table below shows total expenditures for colleges and universities in millions of dollars. All data are in current dollars. Year 1970 1980 1990 2000 2010 Expenditures 21,023 56,964 134,626 236,774 463,700 Estimate expenditures in 2015. million dollars Explain your reasoning.

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%…

Find the Fan Cost Index for the Atlanta Hawks.   Team Ticket Other Drink Soft Drink Hot Dog Parking Hat FCI Atlanta Hawks $55 $5 $4 $3 $20 $30

BACKGROUND INFO: Use the information below to answer the CANCER SURVIVAL questions that follow. Some bronchial cancer patients had the following survival times (in days) after receiving a certain treatment: 20, 37, 63, 64, 72, 81, 138, 151, 155, 166, 166, 223, 245, 246, 450, 459.  (The second instance of “166” is not a mistake.) Do these numbers suggest that the average survival time, for all bronchial cancer patients who receive that treatment, is significantly different from 200 days? QUESTION I NEED TO BE ANSWERED: Report an appropriate one-sample hypothesis test and use a 10% significance level. For Step 6 of the six-step process that was taught in this class, what would be the final conclusion?   A. The P-value is low so we cannot conclude that the average survival time is significantly different from 200 days.    B. The P-value is not very low so our conclusion is that the average survival time is significantly different from 200 days.    C. The P-value is not very low…