Do larger universities tend to have more property crime? University crime statistics are affected by a variety of factors. The surrounding community, accessibility given to outside visitors, and many other factors influence crime rate. Let x be a variable that represents student enrollment (in thousands) on a university campus, and let y be a variable that represents the number of burglaries in a year on the university campus. A random sample of n = 8 universities in California gave the following information about enrollments and annual burglary incidents. x 14.3 31.8 24.5 14.3 7.5 27.7 16.2 20.1 y 24 70 39 23 15 30 15 25 (a) Make a scatter diagram of the data.  Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website.   Then visualize the line you think best fits the data. (b) Use a calculator to verify that Σx = 156.4, Σx2 = 3510.46, Σy = 241, Σy2 = 9501 and Σxy = 5542.6.Compute r. (Round to 3 decimal places.) As x increases, does the value of r imply that y should tend to increase or decrease? Explain your answer. Given our value of r, y should tend to decrease as x increases. Given our value of r, y should tend to remain constant as x increases.  Given our value of r, y should tend to increase as x increases. Given our value of r, we can not draw any conclusions for the behavior of y as x increases.

The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the following data show the average number of passing yards per attempt (Yards/Attempt) and the percentage of games won (WinPct) for a random sample of 10 NFL teams for the 2011 season.† Team Yards/Attempt WinPct Arizona Cardinals 6.5 50 Atlanta Falcons 7.1 63 Carolina Panthers 7.4 38 Chicago Bears 6.4 50 Dallas Cowboys 7.4 50 New England Patriots 8.3 81 Philadelphia Eagles 7.4 50 Seattle Seahawks 6.1 44 St. Louis Rams 5.2 13 Tampa Bay Buccaneers 6.2 25 (a) Develop a scatter diagram with the number of passing yards per attempt on the horizontal axis and the percentage of games won on the vertical axis. A scatter diagram has 9 points plotted on it. The horizontal axis ranges from 5 to 9 and is labeled: Yards/Attempt. The vertical axis ranges from 0 to 90 and is labeled: Win %.…

State the estimated coefficient for time and its interpretation. Also, state what the coefficient of determination is and its interpretation.

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

Need Help with this question and thank you!  Here's the data: Occupation Frequency Hyp. Prop Management 1560 0.09 Business 3199 0.18 Sciences 1271 0.07 Health 1178 0.07 Social sci. 1621 0.09 Arts, rec, sports 560 0.03 Sales, service 4262 0.24 Trades, transport 2614 0.15 Unique to primary 560 0.03 Unique to processing 775 0.05   17600

Summary: This study aimed to determine whether exposure to Artificial Light At Night (ALAN) while sleeping is associated with the prevalence and risk of obesity, as previous research has shown a link between short sleep and obesity. The study involved analyzing data from 43,722 women aged 35 to 74 years in the US who had no history of cancer or cardiovascular disease and were not shift workers, daytime sleepers, or pregnant. The women reported their ALAN exposure at enrollment, and the data were analyzed from 2017 to 2018. ALAN exposure was categorized as 'No ALAN Exposure', and 'Any ALAN Exposure' (small nightlight, light outside the room, and light or television in the room). The presence of obesity was determined based on the measurement of general obesity, defined as having a body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) of 30.0 or higher. Research Question: Is artificial light at night while sleeping associated with obesity? Results:…

Determine whether the underlined number is a statistic or a parameter. in a study of all 4622 professors at a college, it is found that 40% own a television.

refer to the following: For countries listed in the Human Development Report, the correlation between the percent of people using the Internet and per capita gross domestic product (GDP) is 0.888. The correlation (r) between the percent of people using the Internet and the percent using cell phones is 0.818. The correlation between the percent of people using the Internet and the literacy rate is 0.669. The correlation between the percent of people using the Internet and the fertility rate is -0.551. 10) Which variable (GDP, percent using cell phones, literacy rate, or fertility rate) has the strongest linear association with Internet use? Which variable has the weakest linear association with Internet use? Strongest: Weakest:

A marketing firm is doing research for an Internet-based company. It wants to appeal to the age group of people who spend the most money online. The company wants to know if there is a difference in the mean amount of money people spend per month on Internet purchases depending on their age bracket. The marketing firm looked at two age groups, 1818-2424 years and 2525-3030 years, and collected the data shown in the following table. Let Population 1 be the amount of money spent per month on Internet purchases by people in the 1818-2424 age bracket and Population 2 be the amount of money spent per month on Internet purchases by people in the 2525-3030 age bracket. Assume that the population variances are not the same.  Internet Spending per Month   1818-2424 Years 2525-3030 Years Mean Amount Spent 62.4962.49 62.8462.84 Standard Deviation 20.0420.04 15.6415.64 Sample Size 1616 2828   Step 1 of 2 :   Construct a 95%95% confidence interval for the true difference…

Suppose you are interested in the population of all college students in the US and that you collect data from all students from FIT. Is the following a parameter or statistic?  The proportion of your school's students who are Business Majors     a. parameter     b. statistic