EBK BUSINESS STATISTICS
7th Edition
ISBN: 8220102743984
Author: STEPHAN
Publisher: PEARSON
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A doctor wanted to determine whether there is a relation between a male's age and his HDL (so-called good) cholesterol. The doctor randomly selected 17 of his patients and determined their HDL cholesterol. The data obtained by the doctor is the in the data table below. Complete parts (a) through (f) below.
Age vs. HDL Cholesterol data
Age, x
HDL Cholesterol, y
Age, x
HDL Cholesterol, y
3838
5555
4040
4343
4141
5454
6767
6464
4747
3535
2929
5353
3232
5656
5050
3737
5454
3434
2626
4444
5252
3939
5151
3636
6060
4444
4747
5353
6161
3838
4040
2828
2626
4949
PrintDone
view the data obtained by the doctor.
obtained by the doctor is the in the data table below. Complete parts (a) through (f) below.
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Click the icon to view the data obtained by the doctor.
(a) Draw a scatter diagram of the data,…
"A scientist divides a room of students into three groups. Each group takes a
memory test in one of three rooms: a room held at a constant temperature
of 40°F, a room held at 60°F, and a room held at 80°F. Afterwards, test
are used to determine if temperature affects memory. ||
Scores
Temperature is the Variable, Memory test score is the Variable. "
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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.
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- You wonder whether talking to plants keeps them from dying. You conduct a study in which you talk to one group of five plants and do not talk to a second group of five plants. After two weeks, you record whether each plant has lived or died. This assessment of plant health is a(n) _____ dependent variable, which means that the data can be analyzed using a(n) _____ test. a. nominal; parametric b. interval; parametric c. interval; nonparametric d. nominal; nonparametricarrow_forwardL3Q8.Find the type of relationship that exists between the two variables x and y in the scatter plot. A.Zero correlation B.Negative correlation C.Positive correlation D.None of the choicesarrow_forwardA group of 1,000 people was randomly chosen as a sample for a survey. The ages of the people were analyzed. • The range of the ages was 25 years. • More than half of the people were 45 years old or younger. • The lowest 25% of the ages hada range of 5 years. Which box plot could represent the ages of the people in the sample? ++++ 20 25 30 35 40 45 50 55 60 65 70 H OH 20 25 30 35 40 45 50 55 60 65 70 十十十+ 20 25 30 35 40 45 50 55 60 65 70 +++ ++++ ++++ OH 20 25 30 35 40 45 50 55 60 65 70 +++++++++ HIT+ An expression is chounarrow_forward
- Which point would most likely be considered an outlier if it was added to the data in the table? (2,19),(5,11),(7,14) or (10,22)arrow_forward4.3) •VA report from Texas Transportation Institute (Texas A&M University System 2005) on Congestion Re- duction Strategies looked into the extra travel time (due to traffic congestion) for commute travel per traveler per year in hours for different urban areas. Below are the data for urban areas that had a population of over 3 million for the year 2002. Extra Hours per Traveler per Year Urban Area Los Angeles San Francisco 98 75 Washington DC Atlanta 66 64 Houston 65 Dallas, Fort Worth Chicago Detroit 61 55 54 Miami 48 Boston 53 New York 50 Phoenix 49 Philadelphia 40 4. Compute the mean and median values for extra travel hours. Based on the values of the mean and median, is the distribution of extra travel hours likely to be approximately symmetric, positively skewed, or negatively skewed?arrow_forwardIntercept(a) for the following data : X= 95, 75, 85, 65, 65, 55, 45, 35, 95,75_Y= 80, 70, 40, 50, 30, 60, 90, 90, 8O, 50 is : O 492.6 656.3 O 765.33 O 345.8arrow_forward
- 2. Mr. Fritsch wanted to see if there is a connection between the time a given exam takes place and the average score of this exam. He collected data about all the exams from the previous year and arranged the average scores of the exams according to the period they took place, as shown. 100 Given the plot to the right, which statement is the best description of the association between these variables? (Circle One) 80 60 A. Later periods tended to score higher on exams. B. Later periods tended to score lower on exams. C. There is no clear relationship between period and exam scores. 2. 3. 4 5. 9. 7. 8. Period <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< X N NO 40 20 Averagearrow_forwardImagine you are interning for Starbucks corporation in Seattle, WA. It is known that there is a linear relationship between the number of customers in a store and the revenue of the store. A San Francisco corporate executive at the company wants to verify this claim about all Starbucks, so they survey every Starbucks in their district of San Francisco. Match the foll the information description. ✓ [Choose ] All Coffee shops San Francisco Starbuck Stores All Starbuck coffee shops in San Francisco Population Sample Observational Unit Explanatory Variable Response Variable a Starbucks store number of customers The amount of revenue in a month All Starbucks stores A customer The revenue made in San Francisco revenue of the storearrow_forwardWrite an interpretation based on the data presentedarrow_forward
- L77Q6.arrow_forwardTask: Do you find any inconsistency in the data given below : N = 1,000, (AB) = 483, (Ay) = 378, (By) = 226 (A) = 525, (B) = 312, (C) = 470 and %3D %3D %3D (АВС) - 25arrow_forwardThe boxplot shown below results from the heights (cm) of males listed in a data set. What do the numbers in that boxplot tell us? 151 172.5 192 168.5 182.6 A boxplot consists of a box that extends from 168.5 to 182.6, a vertical line segment drawn through the box at 172.5, and a horizontal line segment extending from a vertical line segment at 151 to a vertical line segment at 192 that bisects the box. Question content area bottom Part 1 The minimum height is enter your response here cm, the first quartile Q1 is enter your response here cm, the second quartile Q2 (or the median) is enter your response here cm, the third quartile Q3 is enter your response here cm, and the maximum height is enter your response here cm. (Type integers or decimals. Do not round.)arrow_forward
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