1. A group of migraine headache sufferers were tracked over their lifetimes with data taken every 10 years. The scatter plot shows the number of headaches per year versus age, in years. How would you estimate the number of headaches at age 10? A Draw a line of best fit and C Use the number from age 50 100 interpolate. and divide by 5. 80- B Draw a line of best fit and D Collect more data until a extrapolate. sufficient number of subjects 60 have reached the age of 10. Number of Headaches per Year 40 20 0 20 40 60 80 100 Age (years) 2. An r-value of -0.32 indicates A no linear correlation. a moderate negative linear correlation. B a weak negative linear correlation. D a strong negative linear correlation. 3. The town of Kingston finds a positive correlation between the number of traffic wardens hired and the number of parking tickets written. Which conclusion is most likely? A Hiring more traffic wardens causes more C A common cause such as increasing people to break the parking rules. population results in more wardens and more parking violations. B The relationship is accidental. D A jump in the number of parking violations has led to the hiring of more traffic wardens. 4. Joe works at the animal shelter. He has noticed a positive correlation between the number of cats available for adoption and the number of visitors to the shelter. This is likely A an accidental relationship. C a presumed relationship. B a common cause relationship. D a reverse cause and effect relationship. 5. The municipality of Charlesburg records an average daily water consumption per household using an unmetered distribution system. After a while the town decides to install water meters at a rate of 100 households per month. After six months, an analysis shows the line of best fit for the average consumption, C, per household, versus the number of meters installed, n, has the equation C'= -0.359% + 996. At a level of 300 meters, consumption was 877 L per household. Determine the residual. A 888.3 L C 113 L 3 877 L D6. Which statement is true? A A residual is a data point that does not fit C An outlier can have a strong impact on a well in an otherwise linear trend. linear regression model if the number of data points is relatively small. B An outlier is the difference between the D Outliers should never be removed from a actual dependent value of a datum and the correlational study, or the study becomes value predicted by the line of best t. invalid. T. The scatter plot shows the relationship between two variables, along with the results of a linear regrmsion. What happens if the outlier is removed? - v: 2m + 2.5_ r2 = I149 A The line ofbest t will slope less steeply. C The line of best fit will slope more steeply. B The coefcient of determination will D The line ofbest fit will slope less steeply decrease. and the coeicient of determination will decrease. 3. Which statement concerning the graph of monthly sales is the most accurate? A. Sales rebounded robustly after C Sales appear stagnant over last drop in first quarter. two quarters. B Sales for the second quarter D Sales show overall downward show a moderate steady rise. trend. 9'. Which headline is most likely to have been intended for a sensational purpose? A Accident rate in general aviation sector C Food bank visits drop after raise in decreases by 1% for third straight month minimum wage B Decrease in melanoma rate correlated with D Employment plummets after increased use of sunblock overly-generous union contract 1|]. You can uncover a hidden variable in a set of data using A a pivot table. C a box plot. [I a summary table. D a bubble plot