5. Identify each of the following examples as attribute qualitative) or numerical (quantitative) variables. a) The residence hall for each student in a statistics class. b) The amount of gasoline pumped by the next 10 customers at the local Unimart. c) The amount of radon in the basement of each of 25 homes in a new development.

Let x be the percentage of 16- to 19-year-olds not in school and not high school graduates. Let y be the reported violent crimes per 1000 residents. Six small cities in Arkansas (Blytheville, El Dorado, Hot Springs, Jonesboro, Rogers, and Russellville) reported the following information about x and y. x 24.2 18.6 17.8 14.9 19.0 17.5 y 13.0 4.6 8.8 1.3 0.8 3.6 Complete parts (a) through (e), given Σx = 112, Σy = 32.1, Σx2 = 2137.7, Σy2 = 282.89, Σxy = 654.37, and r ≈ 0.763. (e) Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r2 to three decimal places. Round your answers for the percentages to one decimal place.) r2 =   explained     % unexplained     % (f) If the percentage of 16- to 19-year-olds not in school and not graduates reaches 22.5% in a similar city, what is the predicted rate…

On a survey, people are classified with the following variable: 0: identify as male 1: identify as female 2: identify as non-binary 3: other How would you classify this variable?   a. Qualitative and discrete   b. Qualitative and ratio   c. Quantitative and discrete   d. Quantitative and interval   e. None of these

Let x be the percentage of 16- to 19-year-olds not in school and not high school graduates. Let y be the reported violent crimes per 1000 residents. Six small cities in Arkansas (Blytheville, El Dorado, Hot Springs, Jonesboro, Rogers, and Russellville) reported the following information about x and y.x 23.8 19.1 17.5 14.9 19.0 17.5y 12.9  4.5    9.5  1.3   0.8   3.6   a) Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample correlation coefficient r. (Round your value for r to four decimal places.)Σx = Σy = Σx2 = Σy2 = Σxy = r = b) Find x, and y. Then find the equation of the least-squares line y hat = a + bx. (Round your answer to four decimal places.)x = y = y hat =  _____+ ____x

4. Find the mode of this data set: 3, 3, 4, 8, 5, 8, 1, 6, 7. OA. no mode OB. 3 O c. 5 OD. 3 and 8

2. A real estate expert wanted to find the relationship between the sale price of houses and various characteristics of the houses. He collected data on five variables, recorded in the table, for 12 houses that were sold recently. The five variables are: Sale price of a house in thousands of dollars. Size of the lot in acres. Price: Lot Size: Living Area: Living area in square feet. Age: Type of house: town house (T) or Villa (V) Age of a house in years. Price Lot Size Living Area Age Туре of house 255 1.4 2500 8 T 178 0.9 2250 12 T T. T. T. 263 1.8 2900 5 0.7 2.6 127 1800 24 305 3200 10 164 1.2 2400 18 245 2.1 2700 T V 146 1.1 2050 28 287 2.8 2850 13 V 189 1.6 2600 9 211 1.7 2300 8 V 123 0.5 1700 11 V a) Find the regression equation for the town house b) Find the regression equation for the Villa c) What is the price of a town house with a lot size of 1.3, living area of 1800, and is 7 years old? EBBBBE A> >}>l> >{

1. Which of the following are examples of statistics? a) Average weight of all adult dogs.b) The 75th percentile of all adult dog weights.c) The largest dog eats lots of blueberry pizza.d) The weight of the largest dog ever.

1. Which of the following is an unbiased point estimator of a population proportion? A. p-value B. ?C. ?0D. ?̅

1. Using the following data: 5568 8 9 10 10 12 15 16 19 20 20 21 24 25 25 30 32 Quartile 1 = Quartile 2 = Quartile 3 =

Classify each of the following data types as qualitative or quantitative. 1. Types of animals used as NFL football team mascots 2. Weight of kindergarten students 3. Height of sycamore trees 4. Dollars earned by actor 5. Colors people use to paint their houses