Introductory Statistics (2nd Edition)
2nd Edition
ISBN: 9780321978271
Author: Robert Gould, Colleen N. Ryan
Publisher: PEARSON
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Chapter 4, Problem 71SE
Education of Fathers and Mothers The data shown in the table are the numbers of years of formal education of the fathers and mothers of a sample of 29 statistics students at a small com-munity college in an area with many recent immigrants. (The means are both about 8, and the standard deviations are both about 4.6.) The
a. Find and report the regression equation for predicting the Mother's years of education from the father's. Then find the predicted number of years for the mother if the father has 12 years of education, and find the predicted number of years for a mother if the father has 4 years of education.
b. Find and report the regression equation for predicting the father years of education from the mother. Then find the predicted number of years for the father if the mother has 12 years of education, and find the predicted number of years for the father if the mother has 4 years od education.
c. What phenomenon from the chapter does this demonstrate? Explain.
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Chapter 4 Solutions
Introductory Statistics (2nd Edition)
Ch. 4 - Predicting Land Value Both scatterplots concern...Ch. 4 - Predicting Total Value of Property Both...Ch. 4 - Car Value and Age of Student The scatterplot shows...Ch. 4 - Shoe Size and GPA The figure shows a scatterplot...Ch. 4 - Weight Loss (Example 1) The scatterplot shows the...Ch. 4 - Comparing Salaries The scatterplot shows the...Ch. 4 - Sisters and Brothers The scatterplot shows the...Ch. 4 - BAs and Median Income The scatterplot shows data...Ch. 4 - Work and TV The scatterplot shows the number of...Ch. 4 - Work and Sleep The scatterplot shows the number of...
Ch. 4 - Age and Sleep The scatterplot shows the age and...Ch. 4 - Height and Weight for Women The figure shows a...Ch. 4 - College Tuition and ACT a. The first scatterplot...Ch. 4 - Ages of Women Who Give Birth The figure shows a...Ch. 4 - Do Older Students Have Higher GPAs? On the basis...Ch. 4 - Handspans Refer to the figure. a. Would it make...Ch. 4 - Matching Pick the letter of the graph that goes...Ch. 4 - Matching Pick the letter of the graph that goes...Ch. 4 - Matching Match each of the following correlations...Ch. 4 - Matching Match each of the following correlations...Ch. 4 - Trash (Example 2) The table shows the number of...Ch. 4 - Cost of Flights The table for part a shows...Ch. 4 - Work Hour and TV Hours In Exercise 4.9 there was a...Ch. 4 - House Price The correlation between house price...Ch. 4 - Rate My Professor Seth Wagerman, a former...Ch. 4 - Cousins Five people were asked how many female...Ch. 4 - + Video Games and BMI The table gives some...Ch. 4 - See-Saw The table gives data on the heights (above...Ch. 4 - Salaries of College Graduates (Example 3) The...Ch. 4 - Mother and Daughter Heights The graph shows the...Ch. 4 - Are Men Paid More Than Women? The scatterplot...Ch. 4 - Home Prices and Areas of Four Bedroom Homes a....Ch. 4 - Height and Arm Span for Women (Example 4) TI-84...Ch. 4 - Hand and Foot Length for Women The computer output...Ch. 4 - Height and Arm Span for Men (Example 5)...Ch. 4 - Hand Length and Foot Length for Men Measurements...Ch. 4 - Comparing Correlation for Arm Span and Height The...Ch. 4 - Age and Weight for Men and Women The scatterplot...Ch. 4 - Social Security Number and Age The figure shows a...Ch. 4 - Seesaw The figure shows a scatterplot of the...Ch. 4 - Choosing the Predictor and Response (Example 6)...Ch. 4 - Choosing the Predictor and Response Indicate which...Ch. 4 - Percentage of Smoke-Free Homes and Percentage of...Ch. 4 - Effect of Adult Smoking on High School Student...Ch. 4 - Driver’s Deaths and Ages The figure shows a graph...Ch. 4 - Do Women Tend to Live Longer Than Men? The figure...Ch. 4 - How Is the Time of a Flight Related to the...Ch. 4 - English in California Schools This problem...Ch. 4 - Do States with Higher Populations Have More...Ch. 4 - Semesters and Units The table shows the...Ch. 4 - Pitchers The table shows the number of wins and...Ch. 4 - Text Messages The following table shows the number...Ch. 4 - Answer the question using complete sentence. a....Ch. 4 - Answer the question, using complete sentences. a....Ch. 4 - If there is a positive correlation between number...Ch. 4 - Suppose that the growth rate of children looks...Ch. 4 - Coefficient of Determination If the correlation...Ch. 4 - Coefficient of Determination Does a correlation of...Ch. 4 - Investing Some investors use a technique called...Ch. 4 - Blood Pressure Suppose a doctor telephones those...Ch. 4 - Salary and Year of Employment (Example 8) The...Ch. 4 - MPG: Highway and City The following figure shows...Ch. 4 - Cost of Turkeys The table shows the weights and...Ch. 4 - Iraq Casualties and Population of Hometowns The...Ch. 4 - Teachers’ Pay and Costs of Education (Example 9)...Ch. 4 - Teachers’ Pay the figure shows a scatterplot with...Ch. 4 - Does Having a Job Affect Students’ Grades?...Ch. 4 - Weight of Trash and Household Size Data were...Ch. 4 - Age and Text Messages The scatterplot shows the...Ch. 4 - Life Expectancy and TVs The scatterplot shows the...Ch. 4 - Education of Fathers and Mothers The data shown in...Ch. 4 - Heights of Fathers and Sons The table shows some...Ch. 4 - Test Scores Assume that in a political science...Ch. 4 - Test Scores Assume that in a sociology class, the...Ch. 4 - Heights and Weights of People The following table...Ch. 4 - Heights and Weights of Men The table shows the...Ch. 4 - Homes The table shows the asking price (in...Ch. 4 - Alcohol and Calories in Beer At the text’s website...Ch. 4 - Shoe Size and Height The scatterplot shows the...Ch. 4 - Age and Sleep The following scatterplot shows the...Ch. 4 - Age and Weight The following scatterplot shows the...Ch. 4 - Heights and Test Scores a. The following figure...Ch. 4 - Prob. 83CRECh. 4 - Age and Happiness Happiness ratings were from I...Ch. 4 - Tree Heights Loggers gathered information about...Ch. 4 - Film Budgets and Grosses Movie studios exert much...Ch. 4 - Gas Mileage of Cars The table gives the number of...Ch. 4 - Tall Buildings The following scatterplot shows...Ch. 4 - Bar-Passing Rate To become a lawyer, you must pass...Ch. 4 - For 4.91 through 4.94 show your points in a rough...Ch. 4 - For 4.91 through 4.94 show your points in a rough...Ch. 4 - For 4.91 through 4.94 show your points in a rough...Ch. 4 - For 4.91 through 4.94 show your points in a rough...Ch. 4 - The following figure shows a scatterplot of the...Ch. 4 - Wages and Education The figure shows a scatterplot...Ch. 4 - Do Students Taking More Units Study More Hours?...Ch. 4 - Hours of Exercise and Hours of Homework The...Ch. 4 - Children’s Ages and Heights The following figure...Ch. 4 - Blackjack Tips The following figure shows the...Ch. 4 - Decrease in Cholesterol A doctor is studying...Ch. 4 - Prob. 102CRE
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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4arrow_forwardLife Expectancy The following table shows the average life expectancy, in years, of a child born in the given year42 Life expectancy 2005 77.6 2007 78.1 2009 78.5 2011 78.7 2013 78.8 a. Find the equation of the regression line, and explain the meaning of its slope. b. Plot the data points and the regression line. c. Explain in practical terms the meaning of the slope of the regression line. d. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 2019? e. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 1580?2300arrow_forwardOlympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?arrow_forward
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