The following data includes the year, make, model, mileage (in thousands of miles) and asking price (in US dollars) for each of 13 used Honda Odyssey minivans. The data was collected from the Web site of the Seattle P-I on April 25, 2005. year make model mileage  price 2004 Honda  Odyssey EXL    20 26900 2004 Honda Odyssey EX  21 23000 2002 Honda Odyssey  33 17500 2002 Honda Odyssey  41 18999 2001 Honda Odyssey EX  43 17200 2001 Honda Odyssey EX  67 18995 2000 Honda Odyssey LX  46 13900 2000 Honda Odyssey EX  72 15250 2000 Honda Odyssey EX  82 13200 2000 Honda Odyssey  99 11000 1999 Honda Odyssey  71 13900 1998 Honda Odyssey  85  8350 1995 Honda Odyssey EX 100  5800 Compute the correlation between mileage and price for these minivans. (Assume the correlation conditions have been satisfied and round your answer to 3 decimal places.) rr =

The total sales made by a salesperson was $25,000 after 3 months and $68,000 after 23 months. Predict the total sales after 28 months. O A. $78,750 B. $78,850 O C. $78,720 O D. $78,792

A student received the following marks on 5 unit assessments: 75, 84, 92, 61, and 79. What should his mark be on the next unit assessment in order to have an average of 80?

The following data report total, monthly U.S. book-store sales in millions of dollars from January 2016 to March 2019. (Go to https://www.census.gov/retail/index.html#mrts, find “Monthly Retail Trade Report,” then select “Time Series/Trend Charts” to find the data for the total U.S. bookstore sales.)YearMonth          2016     2017      2018     2019January       $1,468  $1,386  $1,271   $1,144February      727       691       709        666March          719       707       734        685April             709       729       710May             778       781       787June            713       704       727July             687       669       701August        1,524    1,374    1,364September  1,064    997       986October       715       689       741November   742       703       768December    1,256   1,157    1,259 c. Which forecasting model is appropriate based on the data for the total U.S. bookstore sales?Appropriate model____________d. Evaluate a seasonally adjusted trend…

The following data report total, monthly U.S. book-store sales in millions of dollars from January 2016 to March 2019. (Go to https://www.census.gov/retail/index.html#mrts, find “Monthly Retail Trade Report,” then select “Time Series/Trend Charts” to find the data for the total U.S. bookstore sales.)YearMonth         2016      2017       2018         2019January     $1,468    $1,386    $1,271      $1,144February     727       691          709           666March         719       707          734           685April            709       729          710May            778       781          787June           713       704          727July            687       669          701August       1,524    1,374       1,364September 1,064    997          986October      715       689          741November  742       703          768December  1,256    1,157       1,259         g. Predict book sales for the next 9 months. (Round your answers to 4 decimal places.)Year    Month                Forecast…

A certain county had a population of 34,485 people. The county hospital is interested in estimating the number of people in the county with blood type-O. To do this, they test blood samples from 228 patients. Out of this group, 10 have blood type-O. Use this sample to estimate the number of people in the county with blood type-O.

A report states that 45% of American adults were obese. In this report, adults were considered to be 20 years of age or older.     If about 71% of Americans are adults (20 and over), use the U.S. population estimate of 301 million people to calculate the number of American adults age 20 and older.

The national center for educational statistics reported that in 2008-2009, 178,564 master's degrees in education were awarded in the United States, and that this represented 27% of all master's degrees awarded. How many master's degrees were awarded in 2008-2009?

The following table shows the square footage of houses in an area that sold recently along with the selling price. Sq. Ft. Price 2096, 295000, 3160, 338000, 2320, 265000, 3150, 365000, 2760, 330000, 3650, 412000, 2125, 320000, 3085, 342000, 4750, 485000, 2100, 320000, 3100, 316000, 2240, 321000, 3300, 347000, 2800, 350000, 2825, 330000, 3275, 420000 1. Find the equation of the regression line (line of best fit). 2. Determine if there is a strong linear correlation. 3. If there is a strong linear correlation predict the selling price of a 3333 sq. ft. home

Assemble fuel consumption data for 10 automobiles of your choice (in litres/100km). Show details of how you arrive at the 5-number-summary and carefully draw the Boxplot.