Use the Women's Earnings scatterplot below to answer the questions. Women's Earnings as a Percentage of Men's Earnings 90 80 70 60 50 y = 0.617x - 1156.3 R? = 0.9302 40 30 20 10 1979 1984 1989 1994 1999 2004 2009 Year What is the dependent variable and what does it represent? Percentage Years Income in dollars Not able to determine Percentage

Which of the following is an example of quantitative data? Select all that apply The steak weighs 8 ounces. The Apple Watch is charged to 64%. The Iphone has low battery. The grass is green The chicken is heavy. Sally has a temperature of 99 degrees Fahrenheit. It is 108 degrees outside.

What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below.   Time 6 1 16 12 2 1 16 1 Score 72 51 87 72 60 63 100 48    r2r2 =  (Round to two decimal places)   There is a large variation in the final exam scores that students receive, but if you only look at students who spend a fixed amount of time studying per week, this variation on average is reduced by 84%. There is a 84% chance that the regression line will be a good predictor for the final exam score based on the time spent studying. Given any group that spends a fixed amount of time studying per week, 84% of all of those students will receive the predicted score on the final exam. 84% of all students will receive the average score on the final exam.   3. Use the model to predict the final exam score for a student who spends 11 hours per week studying.Final exam score =  (Please round your answer to the nearest whole…

+ 59 64.5 66 75% of this data falls below what value? 5.5 77 59 64.5 66 18 70 70 77

Multiple Choice Question If you were given the data and scatterplot below, which model would be the best fit for this data? (Gross Federal Government Debt Graph attached) A. Linear Model B. Exponential Model C. You cannt tell from the information given

CVheights = ________ % CVage = ________ % And compare the results

SON ********** b. Do the organic Dr. Stephanie Andrews (5) Researchers from the University of Miami found that a person's GPA in high school could be an indicator of how much that person will earn later in life. The chart below depicts the findings of the study. Average annual earnings in adulthood, by high school GPA Men $50,000 40,000 30,000 20,000 10,000 0 0.0 Women 0.5 1.0 1.5 2.0 2.5 HIGH SCHOOL GPA SOURCE: University of Miami GRAPHIC: The Washington Post. Published May 20, 2014 3.0 3.5 4.0 4 a. Consider the two variables, High School GPA and Average Annual Earnings in Adulthood. Which is dependent? b. Describe the relationship between High School GPA and Average Annual Earnings in Adulthood. Is the correlation positive or negative? (Write at least two sentences.) c. Does a person's High School GPA cause them to earn a certain salary in adulthood? Explain. (Write at least one sentence.) sta tement

Using the data from the table Disease or illness less than $35,000 $35,000 - 49,999 $50,000 - 74,999 $75,000 - 99,999 $100,000 or more Coronary heart disease 8.1 6.5 6.3 5.3 4.9 Stroke 3.9 2.5 2.3 1.8 1.6 Emphysema 3.2 2.5 1.4 1.0 0.8 Chronic bronchitis  6.3 4.0 4.4 2.2 2.4 Diabetes  11.0 10.4 8.3 5.6 5.9 Ulcers 8.7 6.7 6.5 4.7 4.4 Kidney disease 3.0 1.9 1.3 0.9 0.9 Liver disease 2.0 1.6 1.0 0.6 0.7 Chronic arthritis  33.4 30.3 27.9 27.4 24.4 Hearing trouble  17.2 16.0 16.0 16.2 12.4 Vision trouble  12.7 9.8 7.5 5.7 6.6 No teeth 11.6 7.8 5.5 4.2 4.1 A) create a line graph plotting Annual family income on the x-axis and prevalence of disease or illness on the y-axis. Include all data points for each disease on the same chart ( i.e.? plot the prevalence for each disease or illness as it's own line on a single chart) B) do any of the chronic disease in the table appear to have a dose-response relationship to annual family income? Justify your…

% per $100 30 20 10 1 3 4 6. 7. Wages (hundreds of dollars) The distribution of weekly income for a group of par-time employees of a company is shown in the histogram above. What percent of the company earn between $300 to $600 weekly? (Enter the answer without the percent sign. For example, if your answer is 20%, enter 20.)

Education pays off, according to some data from a study. The median weekly earnings and the unemployment rates for eight different levels of education are shown in the table. Educational Attainment Doctoral degree (Dr) Professional degree (Prf) Master's degree (MS) Bachelor's degree (BS) Associate degree (AS) Some college, no degree (SC) High school diploma (HS) Less than a high school diploma (NHS) Unemployment Rate (%) 1.7 1.7 2.5 2.6 3.5 4.3 5.3 7.5 Median Usual Weekly Earnings ($) 1,665 1,747 1,382 1,155 820 757 690 505 Note: Data are for persons aged 25 and over. Earnings are for full-time wage and salary workers.