Question: The following table shows the heights and

> Data on the number of home runs, strikeouts, and batting averages for a sample of 50 Major League Baseball players were obtained. Regression analyses were conducted on the relationships between home runs and strikeouts and between home runs and batting a

> Data were collected that included information on the weight of the trash (in pounds) on the street for one week and the number of people who live in the house. The following figure shows a scatterplot with the regression line. a. Is the trend positive or

> Grades on a political science test and the number of hours of paid work in the week before the test were recorded. The instructor was trying to predict the grade on a test from the hours of work. The following figure shows a scatterplot and the regressio

> The scatterplot shows the average teacher pay and high school graduation percentage rate for each of the 50 states and the District of Columbia. The regression equation is also shown. (Source: 2017 World Almanac Book of Facts and higheredinfo.org) a. Ba

> The scatterplot shows the average teacher pay and the per pupil expenditure for each of the 50 states and the District of Columbia. The regression equation is also shown. (Source: The 2017 World Almanac and Book of Facts). a. From the scatterplot is the

> The table shows the calories in a five-ounce serving and the % alcohol content for a sample of wines. (Source: healthalicious.com) a. Make a scatterplot using % alcohol as the independent variable and calories as the dependent variable. Include the regr

> The following table shows the weights and prices of some turkeys at different supermarkets. a. Make a scatterplot with weight on the x-axis and cost on the y-axis. Include the regression line on your scatterplot. b. Find the numerical value for the corre

> The following figure shows the relationship between the number of miles per gallon on the highway and that in the city for some cars. a. Report the slope and explain what it means. b. Either interpret the intercept (7.792) or explain why it is not approp

> The equation for the regression line relating the salary and the year first employed is given above the figure. a. Report the slope and explain what it means. b. Either interpret the intercept (4,255,000) or explain why it is not appropriate to interpret

> Suppose a surfer wanted to learn if surfing during a certain time of day made one less likely to be attacked by a shark. Using the Shark Attacks Worldwide data set, which variables could the surfer use in order to answer this question?

> Suppose a doctor telephones those patients who are in the highest 10% with regard to their recently recorded blood pressure and asks them to return for a clinical review. When she retakes their blood pressures, will those new blood pressures, as a group

> Some investors use a technique called the “Dogs of the Dow” to invest. They pick several stocks that are performing poorly from the Dow Jones group (which is a composite of 30 well known stocks) and invest in these. Explain why these stocks will probably

> Does a correlation of -0.70 or +0.50 give a larger coefficient of determination? We say that the linear relationship that has the larger coefficient of determination is more strongly correlated. Which of the values shows a stronger correlation?

> If the correlation between height and weight of a large group of people is 0.67, find the coefficient of determination (as a percentage) and explain what it means. Assume that height is the predictor and weight is the response, and assume that the associ

> Suppose that the growth rate of children looks like a straight line if the height of a child is observed at the ages of 24 months, 28 months, 32 months, and 36 months. If you use the regression obtained from these ages and predict the height of the child

> The scatterplot shows the LSAT (Law School Aptitude Test) scores for a sample of law schools and the percent of students who were employed immediately after law school graduation. Do you think the correlation coefficient among these variables is positive

> The figure shows a scatterplot of birthrate (live births per 1000 women) and the age of the mother in the United States. Would it make sense to find the correlation for this data set? Explain. According to this graph, at approximately what age does the h

> The first scatterplot shows the college tuition and percentage acceptance at some colleges in Massachusetts. Would it make sense to find the correlation using this data set? Why or why not? b. The second scatterplot shows the composite grade on the ACT

> United Press International published an article with the headline “Study Finds Correlation between Educations, Life Expectancy.” Would you expect this correlation to be negative or positive? Explain your reasoning in the context of this headline.

> USA Today College published an article with the headline “Positive Correlation Found between Gym Usage and GPA.” Explain what a positive correlation means in the context of this headline.

> A data set on Shark Attacks Worldwide posted on Stat Crunch records data on all shark attacks in recorded history including attacks before 1800. Variables contained in the data include time of attack, date, location, activity the victim was engaged in wh

> College students who were drivers were asked if they had ever received a speeding ticket (yes or no). The results are shown in the table, along with gender. a. There are two variables in the table, state what they are and whether each is categorical or n

> Five people were asked how many female first cousins they had and how many male first cousins. The data are shown in the table. Assume the trend is linear, find the correlation, and comment on what it means.

> Seth Wagerman, a former professor at California Lutheran University, went to the website RateMyProfessors.com and looked up the quality rating and also the “easiness” of the six full-time professors in one department.

> The correlation between house price (in dollars) and area of the house (in square feet) for some houses is 0.91. If you found the correlation between house price in thousands of dollars and area in square feet for the same houses, what would the correlat

> In Exercise 4.1 there is a graph of the relationship between SAT score and college GPA. SAT score was the predictor and college GPA was the response variable. If you reverse the variables so that college GPA was the predictor and SAT score was the respon

> The table for part (a) shows distances between selected cities and the cost of a business class train ticket for travel between these cities. a. Calculate the correlation coefficient for the data shown in the table by using a computer or statistical calc

> The distance (in kilometers) and price (in dollars) for one-way airline tickets from San Francisco to several cities are shown in the table. a. Find the correlation coefficient for this data using a computer or statistical calculator. Use distance as th

> Match each of the following correlations with the corresponding graph. -0.51 _________ 0.98 _________ 0.18 _________

> Match each of the following correlations with the corresponding graph. 0.87 _________ -0.47 _________ 0.67 _________ (Source: StatCrunch: 2011 MLB Pitching Stats according to owner: IrishBlazeFighter) (Source: StatCrunch: 2011 MLB Pitching Stats accor

> Pick the letter of the graph that goes with each numerical value listed below for the correlation. Correlations: -0.903 _________ 0.374 _________ 0.777 _________

> Pick the letter of the graph that goes with each numerical value listed below for the correlation. Correlations: 0.767 _________ 0.299 _________ -0.980 ________

> Suppose you wanted to know whether ring size and height were associated. Could you do that with this data table? If so, which variables would you use?

> The scatterplot shows the acceptance rate and selectivity index for a sample of medical schools. The acceptance rate is the percentage of applicants who were accepted into the medical school. The selectivity index is a measure based on GPA, test scores,

> The first graph shows the years a person was employed before working at the company and the salary at the company. The second graph shows the years employed at the company and the salary. Which graph shows a stronger relationship and could do a better jo

> The scatterplots show SAT scores and GPA in college for a sample of students. The top graph uses the critical reading SAT score to predict GPA in college and the bottom graph shows math SAT to predict GPA. Which is the better predictor of GPA for these s

> The figure shows a scatterplot of the heights and weights of some women taking statistics. Describe what you see. Is the trend positive, negative, or near zero? Explain.

> The scatterplot shows the age and number of hours of sleep “last night” for some students. Do you think the trend is slightly positive or slightly negative? What does that mean?

> The scatterplot shows the number of hours of work per week and the number of hours of sleep per night for some college students. Does the graph show a strong increasing trend, a strong decreasing trend, or very little trend? Explain.

> The scatterplot shows the number of work hours and the number of TV hours per week for some college students who work. There is a very slight trend. Is the trend positive or negative? What does the direction of the trend mean in this context? Identify an

> Describe the trend in the scatterplot of house price and area for some houses. State which point appears to be an outlier that does not fit the rest of the data.

> The scatterplot shows the numbers of brothers and sisters for a large number of students. Do you think the trend is somewhat positive or somewhat negative? What does the direction (positive or negative) of the trend mean? Does the direction make sense in

> The scatterplot shows data on salary and years of education for a sample of workers. Comment on the trend of the scatterplot. Is the trend positive, negative, or near zero?

> Suppose you wanted to know whether living situation was associated with number of hours of study per week. Could you do that with this data table? If so, which variables would you use?

> The scatterplot shows data on credits attained and GPA for a sample of college students. Comment on the trend of the scatterplot. Is the trend positive, negative, or near zero?

> The scatterplot shows data on age and GPA for a sample of college students. Comment on the trend of the scatterplot. Is the trend positive, negative, or near zero?

> The scatterplot below shows data on age of a sample students and the number of college credits attained. Comment on the strength, direction, and shape of the trend.

> The data shows the number of calories, carbohydrates (in grams) and sugar (in grams) found in a selection of menu items at McDonald’s. Scatterplots suggest the relationship between calories and both carbs and sugars is linear. The data

> The table shows the heights (in inches) and weights (in pounds) of 14 college men. The scatterplot shows that the association is linear enough to proceed. a. Find the equation for the regression line with weight (in pounds) as the response and height (i

> Suppose that students who scored much lower than the mean on their first statistics test were given special tutoring in the subject. Suppose that they tended to show some improvement on the next test. Explain what might cause the rise in grades other tha

> A doctor is studying cholesterol readings in his patients. After reviewing the cholesterol readings, he calls the patients with the highest cholesterol readings (the top 5% of readings in his office) and asks them to come back to discuss cholesterol-lowe

> The following figure shows the amount of money won by people playing blackjack and the amount of tips they gave to the dealer (who was a statistics student), in dollars. Would it make sense to find a correlation for this data set? Explain.

> The following figure shows information about the ages and heights of several children. Why would it not make sense to find the correlation or to perform linear regression with this data set? Explain.

> Suppose you wanted to know whether the men or the women tended to be taller. Could you do that with this data table? If so, which variables would you use?

> The following scatterplot shows the number of hours of exercise per week and the number of hours of homework per week for some students. Explain what it shows.

> The following figure shows the number of units that students were enrolled in and the number of hours (per week) that they reported studying. Do you think there is a positive trend, a negative trend, or no noticeable trend? Explain what this means about

> The figure shows a scatterplot of the wages and educational level of some people. Describe what you see. Explain the trend and mention any unusual points. (Source: www.stat.ucla.edu)

> The following figure shows a scatterplot of the educational level of twins. Describe the scatterplot. Explain the trend and mention any unusual points. (Source: www.stat.ucla.edu)

> Construct a set of numbers (with at least three points) with a strong positive correlation. Then add one point (an influential point) that changes the correlation to negative. Report the data and give the correlation of each set.

> Construct a set of numbers (with at least three points) with a strong negative correlation. Then add one point (an influential point) that changes the correlation to positive. Report the data and give the correlation of each set.

> Construct a small set of numbers with at least three points with a perfect negative correlation of -1.00.

> Construct a small set of numbers with at least three points with a perfect positive correlation of 1.00.

> Poverty rates and high school graduation rates for the 50 states and the District of Columbia are graphed below. (Source: 2017 World Almanac and Book of Facts) a. What does the trend tell us about the relationship between poverty and high school graduat

> The following scatterplot shows information about the world’s tallest 169 buildings. Stories means floors. a. What does the trend tell us about the relationship between stories and height (feet)? b. The regression line for predicting t

> Are the following variables, from Table 1A, numerical or categorical? Explain. a. Living situation b. Commute distance c. Number of aunts

> The following table gives the number of miles per gallon in the city and on the highway for some of the most fuel efficient cars according to Consumer Reports. Make a scatterplot of the data using city mileage as the predictor variable. Find the regressi

> Move studios try to predict how much money their movies will make. One possible predictor is the amount of money spent on the production of the movie. The table shows the budget and amount of money made for a sample of movies made in 2017. The budget (am

> Does education pay? The salary per year in dollars, the number of years employed (YrsEm), and the number of years of education after high school (Educ) for the employees of a company were recorded. Determine whether number of years employed or number of

> Data on the fat, carbohydrate, and calorie content for a sample of popular snack foods are found on this text’s website. Use the data to determine which is a better predictor of the number of calories in these snack foods: fat or carbohydrates?

> The LSAT is a standardized test required for entrance to most law schools. The high LSAT score for admitted students and the percentage of students passing the bar exam immediately after law school graduation for a sample of law schools is found on this

> The acceptance rate for a sample of law schools and the percentage of students employed at graduation are on this text’s website. A low acceptance rate means the law school is highly selective in admitting students. (Source: Internet Legal Research Group

> a. The following figure shows hypothetical data for a group of children. By looking at the figure, state whether the correlation between height and test score is positive, negative, or near zero. b. The shape and color of the each marker show what grade

> The following scatterplot shows the age and weight for some women. Some of them exercised regularly, and some did not. Explain what it means that the blue line (for those who did not exercise) is a bit steeper than the red line (for those who did exercis

> The following scatterplot shows the age in years and the number of hours of sleep for some men (M) and women (F). a. How do we interpret the fact that both lines have a negative slope? b. How do we interpret the fact that the slopes are the same for both

> The scatterplot shows the shoe size and height for some men (M) and women (F). a. Why did we not extend the red line (for the women) all the way to 74 inches, instead stopping at 69 inches? b. How do we interpret the fact that the blue line is above the

> In Table 1A, there are observations on how many people?

> The following table shows the fat content (in grams) and calories for a sample of granola bars. (Source: calorielab.com) a. Use technology to make a scatterplot of the data. Use fat as the independent variable (x) and calories as the dependent variable

> In 1994, Major League Baseball (MLB) players went on strike. At the time, the average salary was $1,049,589, and the median salary was $337,500. If you were representing the owners, which summary would you use to convince the public that a strike was not

> A dieter recorded the number of calories he consumed at lunch for one week. As you can see, a mistake was made on one entry. The calories are listed in increasing order: 331, 374, 387, 392, 405, 4200 When the error is corrected by removing the extra 0, w

> When you are comparing two sets of data and one set is strongly skewed and the other is symmetric, which measures of the center and variation should you choose for the comparison?

> a. In your own words, describe to someone who knows only a little statistics how to recognize when an observation is an outlier. What action(s) should be taken with an outlier? b. Which measure of the center (mean or median) is more resistant to outliers

> The histogram shows the lengths of index fingers (in millimeters) for a sample of eighth-graders. (Source: AMSTAT Census at School) a. Use the histogram to approximate the mean ring finger length for the sample. b. Approximate the mean by completing the

> The histogram shows the lengths of ring fingers (in millimeters) for a sample of eighth-graders. (Source: AMSTAT Census at School) a. Without doing any calculations, approximate the mean finger length for the sample. b. Approximate the mean by completing

> The data at this text’s website give the heights of 18 male college students and their fathers, in inches. a. Make histograms and describe the shapes of the two data sets from the histograms. b. Fill in the following table to compare de

> Indicates cost of living for a typical consumer and is used by government economists as an economic indicator. The following data shows the CPI for large urban areas in midwestern and western states in the United States. see Guidance page 143 Midwest: W

> The following table shows the numbers of capital prisoners (prisoners on death row) in 2017 in the western U.S. states. (Source: http://www.deathpenaltyinfo.org) a. Find the median number of prisoners and interpret (using a sentence in context). b. Find

> In Table 1A, how many variables are there?

> The following table shows the numbers of capital prisoners (prisoners on death row) in 2017 in the southern U.S. states. (Source: http://www.deathpenaltyinfo. org) a. Find the median number of prisoners and interpret (using a sentence in context). b. Fin

> The following histograms show the ages of professional baseball players for two teams: the Chicago Cubs and the Oakland Athletics. a. Describe the shape of each histogram. b. Because of the shapes, which measures of center should be compared: the means o

> The following histograms show the number of years in office for Democratic and Republican U.S. senators. (Source: Infogalactic.com) a. Describe the shape of each histogram. b. Because of the shapes, what measures of center should be compared: the means o

> The National Longitudinal Survey records the heights of a representative sample of youths aged 14 to 20. The histograms show data for the heights of males and females. If you were comparing the heights of males and females, which measures of center and s

> Home prices in San Luis Obispo County for a recent month are shown in the histogram. (Source: StatCrunch) a. Describe the shape of the distribution. b. Because of the shape, what measures of center and spread should be used to describe the distribution?

> a. Report the shape of each of the following histograms b. Match each histogram with the corresponding boxplot (A, B, or C).

> The following boxplot shows the percentage of the population that has earned a bachelor’s (BA) degree in the western (W) and eastern (E) United States. Estimate and interpret the median for each group. (Source: 2017 World Almanac and Bo

> The following boxplot shows the average ticket price for professional hockey (NHL), football (NFL), basketball (NBA), and baseball (MLB) for the 2017 seasons. a. Which sport has the most expensive ticket prices? Which sport has the least expensive ticket

> The figure shows the population density (people per square mile) for the 50 states in the United States, based on an estimate from the U.S. Census Bureau. The regions are the Midwest (MW), Northeast (NE), South (S), and West (W). In the West, the potenti

> The following boxplot shows the poverty rates (the proportion of the population below the government’s official poverty level) for the 50 states and the District of Columbia. The regions are the West (W), South (S), NE (Northeast), and

> A student did a survey on the age of marriage for married male and female students. a. Is the format of the data set stacked or unstacked? b. If you answered “stacked” then unstack the data into two columns. If you an

> The five-number summary for a distribution of final exam scores is 60, 78, 80, 90, 100 Is it possible to draw a boxplot based on this information? Why or why not?

> The five-number summary for a distribution of final exam scores is 40, 78, 80, 90, 100 Explain why it is not possible to draw a boxplot based on this information. (Hint: What more do you need to know?)