STATS:DATA+MODELS-MY LAB ACC >CUSTOM<
21st Edition
ISBN: 9780137643127
Author: DeVeaux
Publisher: PEARSON
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Chapter 11, Problem 6E
To determine
Find the list of factors, levels and measure of response variable for the given experimental design.
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Here is data with as the response variable.
x y54.4 19.124.9 99.334.5 9.476.6 0.359.4 4.554.4 0.139.2 56.354 15.773.8 9-156.1 319.2Make a scatter plot of this data. Which point is an outlier? Enter as an ordered pair, e.g., (x,y). (x,y)=
Find the regression equation for the data set without the outlier. Enter the equation of the form mx+b rounded to three decimal places. y_wo=
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You have been hired as an intern to run analyses on the data and report the results back to Sarah; the five questions that Sarah needs you to address are given below. please do it step by step
Does there appear to be a positive or negative relationship between price and screen size? Use a scatter plot to examine the relationship.
Determine and interpret the correlation coefficient between the two variables. In your interpretation, discuss the direction of the relationship (positive, negative, or zero relationship). Also discuss the strength of the relationship.
Estimate the relationship between screen size and price using a simple linear regression model and interpret the estimated coefficients. (In your interpretation, tell the dollar amount by which price will change for each unit of increase in screen size).
Include the manufacturer dummy variable (Samsung=1, 0 otherwise) and estimate the relationship between screen size, price and manufacturer dummy as a multiple linear…
Exercises: Find all the whole number
solutions of the congruence equation.
1. 3x 8 mod 11
2. 2x+3= 8 mod 12
3. 3x+12= 7 mod 10
4. 4x+6= 5 mod 8
5. 5x+3= 8 mod 12
Chapter 11 Solutions
STATS:DATA+MODELS-MY LAB ACC >CUSTOM<
Ch. 11.3 - 1. At one time, a method called “gastric freezing”...Ch. 11.4 - Prob. 2JCCh. 11 - Prob. 1ECh. 11 - 2. E-commerce A business student conjectures that...Ch. 11 - 3. Tips A pizza delivery driver, always trying to...Ch. 11 - 4. Tomatoes You want to compare the tastiness and...Ch. 11 - 5. Tips II For the experiment described in...Ch. 11 - 6. Tomatoes II For the experiment described in...Ch. 11 - 7. Tips again For the experiment of Exercise 3,...Ch. 11 - 8. Tomatoes again For the experiment of Exercise...
Ch. 11 - 9. More tips Is the experiment of Exercise 3...Ch. 11 - 10. More tomatoes If the tomato taster doesn’t...Ch. 11 - 11. Block that tip The driver of Exercise 3 wants...Ch. 11 - 12. Blocking tomatoes To obtain enough plants for...Ch. 11 - 13. Confounded tips For the experiment of Exercise...Ch. 11 - 14. Tomatoes finis What factors might confound the...Ch. 11 - 15. Standardized test scores For his statistics...Ch. 11 - 16. Heart attacks and height Researchers who...Ch. 11 - 17. MS and vitamin D Multiple sclerosis (MS) is an...Ch. 11 - 18. Super Bowl commercials When spending large...Ch. 11 - Prob. 19ECh. 11 - 20. Honesty Coffee stations in offices often just...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 35. Omega-3 Exercise 21 describes an experiment...Ch. 11 - 36. Insomnia Exercise 24 describes an experiment...Ch. 11 - 37. Omega-3, revisited Exercises 21 and 35...Ch. 11 - 38. Insomnia, again Exercises 24 and 36 describe...Ch. 11 - 39. Omega-3, finis Exercises 21, 35, and 37...Ch. 11 - 40. Insomnia, at last Exercises 24, 36, and 38...Ch. 11 - 41. Injuries Exercise 33 describes an experiment...Ch. 11 - 42. Tomatoes II Describe a strategy to randomly...Ch. 11 - 43. Shoes A running-shoe manufacturer wants to...Ch. 11 - 44. Swimsuits A swimsuit manufacturer wants to...Ch. 11 - 45. Hamstrings Exercise 33 discussed an experiment...Ch. 11 - 46. Diet and blood pressure An experiment showed...Ch. 11 - Prob. 47ECh. 11 - 48. Contrast baths Contrast bath treatments use...Ch. 11 - 49. Wine A Danish study published in the Archives...Ch. 11 - 50. Swimming Recently, a group of adults who swim...Ch. 11 - 51. Dowsing Before drilling for water, many rural...Ch. 11 - 52. Healing A medical researcher suspects that...Ch. 11 - 53. Reading Some schools teach reading using...Ch. 11 - 54. Gas mileage Do cars get better gas mileage...Ch. 11 - 55. Weekend deaths A study published in the New...Ch. 11 - 56. Shingles A research doctor has discovered a...Ch. 11 - 57. Beetles Hoping to learn how to control crop...Ch. 11 - 58. SAT prep Can special study courses actually...Ch. 11 - 59. Safety switch An industrial machine requires...Ch. 11 - 60. Washing clothes A consumer group wants to test...Ch. 11 - 61. Skydiving, anyone? A humor piece published in...
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- Scenario Sales of products by color follow a peculiar, but predictable, pattern that determines how many units will sell in any given year. This pattern is shown below Product Color 1995 1996 1997 Red 28 42 21 1998 23 1999 29 2000 2001 2002 Unit Sales 2003 2004 15 8 4 2 1 2005 2006 discontinued Green 26 39 20 22 28 14 7 4 2 White 43 65 33 36 45 23 12 Brown 58 87 44 48 60 Yellow 37 56 28 31 Black 28 42 21 Orange 19 29 Purple Total 28 42 21 49 68 78 95 123 176 181 164 127 24 179 Questions A) Which color will sell the most units in 2007? B) Which color will sell the most units combined in the 2007 to 2009 period? Please show all your analysis, leave formulas in cells, and specify any assumptions you make.arrow_forwardOne hundred students were surveyed about their preference between dogs and cats. The following two-way table displays data for the sample of students who responded to the survey. Preference Male Female TOTAL Prefers dogs \[36\] \[20\] \[56\] Prefers cats \[10\] \[26\] \[36\] No preference \[2\] \[6\] \[8\] TOTAL \[48\] \[52\] \[100\] problem 1 Find the probability that a randomly selected student prefers dogs.Enter your answer as a fraction or decimal. \[P\left(\text{prefers dogs}\right)=\] Incorrect Check Hide explanation Preference Male Female TOTAL Prefers dogs \[\blueD{36}\] \[\blueD{20}\] \[\blueE{56}\] Prefers cats \[10\] \[26\] \[36\] No preference \[2\] \[6\] \[8\] TOTAL \[48\] \[52\] \[100\] There were \[\blueE{56}\] students in the sample who preferred dogs out of \[100\] total students.arrow_forwardBusiness discussarrow_forward
- You have been hired as an intern to run analyses on the data and report the results back to Sarah; the five questions that Sarah needs you to address are given below. Does there appear to be a positive or negative relationship between price and screen size? Use a scatter plot to examine the relationship. Determine and interpret the correlation coefficient between the two variables. In your interpretation, discuss the direction of the relationship (positive, negative, or zero relationship). Also discuss the strength of the relationship. Estimate the relationship between screen size and price using a simple linear regression model and interpret the estimated coefficients. (In your interpretation, tell the dollar amount by which price will change for each unit of increase in screen size). Include the manufacturer dummy variable (Samsung=1, 0 otherwise) and estimate the relationship between screen size, price and manufacturer dummy as a multiple linear regression model. Interpret the…arrow_forwardDoes there appear to be a positive or negative relationship between price and screen size? Use a scatter plot to examine the relationship. How to take snapshots: if you use a MacBook, press Command+ Shift+4 to take snapshots. If you are using Windows, use the Snipping Tool to take snapshots. Question 1: Determine and interpret the correlation coefficient between the two variables. In your interpretation, discuss the direction of the relationship (positive, negative, or zero relationship). Also discuss the strength of the relationship. Value of correlation coefficient: Direction of the relationship (positive, negative, or zero relationship): Strength of the relationship (strong/moderate/weak): Question 2: Estimate the relationship between screen size and price using a simple linear regression model and interpret the estimated coefficients. In your interpretation, tell the dollar amount by which price will change for each unit of increase in screen size. (The answer for the…arrow_forwardIn this problem, we consider a Brownian motion (W+) t≥0. We consider a stock model (St)t>0 given (under the measure P) by d.St 0.03 St dt + 0.2 St dwt, with So 2. We assume that the interest rate is r = 0.06. The purpose of this problem is to price an option on this stock (which we name cubic put). This option is European-type, with maturity 3 months (i.e. T = 0.25 years), and payoff given by F = (8-5)+ (a) Write the Stochastic Differential Equation satisfied by (St) under the risk-neutral measure Q. (You don't need to prove it, simply give the answer.) (b) Give the price of a regular European put on (St) with maturity 3 months and strike K = 2. (c) Let X = S. Find the Stochastic Differential Equation satisfied by the process (Xt) under the measure Q. (d) Find an explicit expression for X₁ = S3 under measure Q. (e) Using the results above, find the price of the cubic put option mentioned above. (f) Is the price in (e) the same as in question (b)? (Explain why.)arrow_forward
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