Introductory Statistics (2nd Edition)
2nd Edition
ISBN: 9780321978271
Author: Robert Gould, Colleen N. Ryan
Publisher: PEARSON
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Textbook Question
Chapter 4, Problem 88CRE
Gas Mileage of Cars The table gives the number of miles per gallon in the city and on the highway for the coupes and compact cars reported to have the best gasoline mileage, according to autobytel.com. Make a
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Spring is a peak time for selling houses. The file SpringHouses contains the selling price, number of bathrooms, square footage, and number of bedrooms of 26 homes sold in Ft. Thomas, Kentucky, in spring 2018 (realtor.com website)
Click on the datafile logo to reference the data.
DATA file
a. The Excel output for the estimated regression equation that can be used to predict the selling price given the number of bathrooms, square footage, and number of bedrooms in the house:
SUMMARY OUTPUT
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression statistics
Regression
Residual
Total
Multiple R
R Square
ANOVA
Adjusted R Square
Standard Error
Observations
0.7429
0.5519
0.4907
61948.6931
Regression statistics
Regression
Residual
Total
df
Intercept
Sq Ft
Beds
Lower 95%
0.9353 -145129.5298
Intercept
Baths
0.9528 -49383.5243
0.0180
Sq Ft
Beds
0.0326
Does the estimated regression equation provide a good fit to the data? Explain. Hint: If R is greater than 45%, the…
please assist with this non graded assisnment. A tutor provided me with incorrect answers so I am resubmitting my question.
The number of megapixels in a digital camera is one of the most important
factors in determining picture quality. But, do digital cameras with more
megapixels cost more? The following data show the number of megapixels and
the price ($) for 10 digital cameras(Consumer Reports, March 2009). Would you
feel comfortable using the estimated regression equation developed to predict
the price of a digital camera given the number of megapixels? Explain.
Brand and Model
Megapixels
Price (S)
Canon PowerShot SD1100 IS
Casio Exilim Card EX-510
180
200
230
8
10
Sony Cyber-shot DSC-170
Pentax Optio M50
Canon PowerShot Gl10
8
120
470
15
Canon PowerShot A590 IS
8
140
Canon PowerShot El
Fujifilm FinePix FOOFD
Sony Cyber-shot DSC-W170
Canon PowerShot A470
10
12
180
310
10
250
110
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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- Does Table 2 represent a linear function? If so, finda linear equation that models the data.arrow_forwardThe number of students in a classroom would be considered which type of data.arrow_forwardResearchers initiated a long-term study of the population of American black bears. One aspect of the study was to develop a model that could be used to predict a bear's weight (since it is not practical to weigh bears in the field). One variable thought to be related to weight is the length of the bear. The accompanying data represent the lengths and weights of 12 American black bears. Complete parts (a) through (d) below. Click the icon to view the data table. Click the icon to view the critical values table. ..... (a) Which variable is the explanatory variable based on the goals of the research? O A. The number of bears B. The weight of the bear O C. The length of the bear (b) Draw a scatter diagram of the data. Choose the correct graph below. O A. O B. O C. D. A Weight (kg) 180- AWeight (kg) 180- ALength (cm) 180- A Weight (kg) 180- 40- 100 40- 100 Length (cm) 40- 100 40- 100 200 200 200 200 Length (cm) Weight (kg) Length (cm) (c) Determine the linear correlation coefficient between…arrow_forward
- A random sample of beef hotdogs was taken and the amount of sodium (in mg) and calories were measured. The data are in the table. Create a scatter plot and find a regression equation between amount of calories and amount of sodium. Then use the regression equation to find the amount of sodium a beef hotdog has if it is 138 calories and if it is 100 calories. Which sodium level that you calculated do you think is closer to the true sodium level? Why? Calories and Sodium Levels in Beef Hotdogs Calories Sodium 181 477 114 296 184 440 164 495 149 374 180 526 137 251 170 482 133 350 Select the correct scatterplot. 500 400 440 420 400 340 300 200 124010 15 120 125 18015 140 145 150 155 100 45 170 175 Jao Jas I80 4p. 500 400 440 420 400 300 340 300 200 I4oio is 120 125 180 135 140 J45 J50 153 100 165 170o 500 400 440 420 400 300 340 320 300 220 200 1240lio is 120 125 180 1 140 145 150 155 100 165 170 175 Jao Jas J0 4s. The regression equation is y= decimal places if necessary.) (Round to two…arrow_forwardThe Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends on many factors, including the model year, mileage, and condition. To investigate the relationship between the car's mileage and the sales price for Camrys, the following data show the mileage and sale price for 19 sales (PriceHub web site, February 24, 2012). DATA file Miles (1,000s) Price ($1,000s) 22 16.2 29 16.0 36 13.8 47 11.5 63 12.5 77 12.9 73 11.2 87 13.0 92 11.8 101 10.8 110 8.3 28 12.5 59 11.1 68 15.0 68 12.2 91 13.0 42 15.6 65 12.7 110 8.3arrow_forwardneed someone to double checkarrow_forward
- A high school guidance counselor analyzed data from a sample of 200 community colleges throughout the United States. One of his goals was to estimate the annual tuition costs of community colleges in the United States. Describe the population and variable of interest to the guidance counselor. Why?arrow_forwardPage of 11 ZOOM + 5. The table shows how the cost of a carne asada taco at my favorite taco stand has increased as they have become more popular since their opening in 2013. Use the data to answer the questions below. Year, x 2013, 0 2014, 1 2015, 2 2016, 3 2017, 4 2018, 5 2019,6 Cost ($) 0.50 0.55 0.65 0.75 0.90 1.00 1.10 (a) What is the regression line given by your TI-84 for this data? Round values to 3 decimal places. (b) Using the regression equation above, predict the cost of a carne asada taco at my favorite taco stand in 2020. Show the work.arrow_forwardUse Excel Spreadsheets, Google Sheets, or GeoGebra to create a scatter plot for the data below. (You will upload your graph in the next question.) Use the graph to answer the questions below the table. The following data are the morning and evening high tide levels for Charleston, SC from January 1-14,2017. The information for the PM high tide for January 4 is missing. Create a scatter plot. Find the regression line and use it to estimate the PM high tide for January 4. Then find the correlation coefficient. (NOTE: The first column identifies the day. This data will not be used in the scatter plot.) Day AM High (in feet), xx PM High (in feet), yy 1 5.6 4.8 2 5.5 4.8 3 5.4 4.9 4 5.2 5 5.0 5.1 6 5.2 5.0 7 5.4 4.9 8 5.7 5.0 9 6.0 5.1 10 6.3 5.3 11 6.4 5.4 12 6.5 5.4 13 6.4 5.4 14 6.2 5.3 Source: SCDHEC.govarrow_forward
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