
Statistics (13th Edition)
13th Edition
ISBN: 9780134080215
Author: James T. McClave, Terry T Sincich
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter 2.7, Problem 145ACB
(a)
To determine
Whether the 400 sags per week is statistically unusual or not.
(b)
To determine
Whether the 100 swells per week is statistically unusual or not.
Expert Solution & Answer

Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
3. Explain why the following statements are not correct.
a. "With my methodological approach, I can reduce the
Type I error with the given sample information without
changing the Type II error."
b. "I have already decided how much of the Type I error I
am going to allow. A bigger sample will not change either
the Type I or Type II error."
C.
"I can reduce the Type II error by making it difficult to
reject the null hypothesis."
d. "By making it easy to reject the null hypothesis, I am
reducing the Type I error."
Given the following sample data values:
7, 12, 15, 9, 15, 13, 12, 10, 18,12
Find the following:
a) Σ
x=
b) x² =
c) x =
n
d) Median
=
e) Midrange
x
=
(Enter a whole number)
(Enter a whole number)
(use one decimal place accuracy)
(use one decimal place accuracy)
(use one decimal place accuracy)
f) the range=
g) the variance, s²
(Enter a whole number)
f) Standard Deviation, s =
(use one decimal place accuracy)
Use the formula s²
·Σx² -(x)²
n(n-1)
nΣ x²-(x)²
2
Use the formula s =
n(n-1)
(use one decimal place accuracy)
Table of hours of television watched per week:
11
15 24
34
36
22
20
30
12
32
24
36
42
36
42
26
37
39
48
35
26
29
27
81276
40
54
47
KARKE
31
35
42
75
35
46
36
42
65
28
54 65
28
23
28
23669
34
43 35 36
16
19
19
28212
Using the data above, construct a frequency table according the following
classes:
Number of Hours Frequency Relative Frequency
10-19
20-29
|30-39
40-49
50-59
60-69
70-79
80-89
From the frequency table above, find
a) the lower class limits
b) the upper class limits
c) the class width
d) the class boundaries
Statistics 300
Frequency Tables and Pictures of Data, page 2
Using your frequency table, construct a frequency and a relative frequency
histogram labeling both axes.
Chapter 2 Solutions
Statistics (13th Edition)
Ch. 2.1 - Explain the difference between class frequency,...Ch. 2.1 - Explain the difference between a bar graph and a...Ch. 2.1 - Explain the difference between a bar graph and a...Ch. 2.1 - Complete the following table:
Ch. 2.1 - 2.2 A qualitative variable with three classes (X,...Ch. 2.1 - Study of importance of libraries. In The Canadian...Ch. 2.1 - 2.5 Do social robots walk or roll? A social (or...Ch. 2.1 - Paying for music downloads. If you use the...Ch. 2.1 -
Cheek teeth of extinct primates. The...Ch. 2.1 - Humane education and classroom pets. In grade...
Ch. 2.1 -
Estimating the rhino population. The...Ch. 2.1 - STEM experiences for girls. The National Science...Ch. 2.1 - 2.7 Microsoft program security issues. To help its...Ch. 2.1 - Genealogy research. The Journal of Family History...Ch. 2.1 - Characteristics of ice melt ponds. The National...Ch. 2.1 - Railway track allocation. One of the problems...Ch. 2.1 - Satellites in orbit. According to the Union of...Ch. 2.1 - Curbing street gang gun violence. Operation...Ch. 2.1 - Interactions in a children’s museum. The nature of...Ch. 2.1 - 2.16 Motivation and right-oriented bias....Ch. 2.1 - Do you believe in the Bible? Each year the...Ch. 2.1 - Museum management. What criteria do museums use to...Ch. 2.1 - 2.17 Groundwater contamination in wells. In New...Ch. 2.1 - Extinct New Zealand birds. Refer to the...Ch. 2.2 - Explain the difference between a dot plot and a...Ch. 2.2 - Explain the difference between a bar graph and a...Ch. 2.2 - Explain the difference between the stem and the...Ch. 2.2 - In a histogram, what are the class intervals?
Ch. 2.2 - How many classes are recommended in a histogram of...Ch. 2.2 - 2.21 Minitab was used to generate the following...Ch. 2.2 - 2.20 Consider the stem-and-leaf display shown...Ch. 2.2 - 2.18 Graph the relative frequency histogram for...Ch. 2.2 - 2.19 Refer to Exercise 2.18. Calculate the number...Ch. 2.2 - Irrelevant speech effects. In a psychological...Ch. 2.2 - Stability of compounds in new drugs. Testing the...Ch. 2.2 - 2.23 Corporate sustainability of CPA firms. Refer...Ch. 2.2 - Shaft graves in ancient Greece. Archeologists have...Ch. 2.2 - Cheek teeth of extinct primates. Refer to the...Ch. 2.2 - Music performance anxiety. The nature of...Ch. 2.2 - Is honey a cough remedy? Does a teaspoon of honey...Ch. 2.2 - Sanitation inspection of cruise ships. To minimize...Ch. 2.2 - Crab spiders hiding on flowers. Crab spiders use...Ch. 2.2 - Sound waves from a basketball. An experiment was...Ch. 2.2 - Research on eating disorders. Data from a...Ch. 2.2 - Research on brain specimens. The postmortem...Ch. 2.2 - State SAT scores. Educators are constantly...Ch. 2.2 - 2.33 Phishing attacks to e-mail accounts. Phishing...Ch. 2.2 - Mineral flotation in water study. A high...Ch. 2.3 - Give three different measures of central...Ch. 2.3 - Explain the difference between a measure of...Ch. 2.3 - What is the symbol used to represent the sample...Ch. 2.3 - Explain the concept of a skewed distribution.
Ch. 2.3 - What two factors affect the accuracy of the sample...Ch. 2.3 - 2.41 Describe how the mean compares to the median...Ch. 2.3 - 2.35 Calculate the mean and median of the...Ch. 2.3 - 2.39 Calculate the mode, mean, and median of the...Ch. 2.3 - 2.36 Calculate the mean for samples where
n = 10,...Ch. 2.3 - Construct one data set consisting of five...Ch. 2.3 - 2.40 Calculate the mean, median, and mode for each...Ch. 2.3 - Use the applet entitled Mean versus Median to find...Ch. 2.3 - Use the applet Mean versus Median to illustrate...Ch. 2.3 - Use the applet Mean versus Median to study the...Ch. 2.3 - Prob. 60ACBCh. 2.3 - Characteristics of a rock fall. In Environmental...Ch. 2.3 - Music performance anxiety. Refer to the British...Ch. 2.3 - Corporate sustainability of CPA firms. Refer to...Ch. 2.3 - 2.49 Is honey a cough remedy? Refer to the...Ch. 2.3 - Check teeth of extinct primates. Refer to the...Ch. 2.3 - 2.52 Ranking driving performance of professional...Ch. 2.3 - 2.51 Symmetric or skewed? Would you expect the...Ch. 2.3 - Mongolian desert ants. The Journal of Biogeography...Ch. 2.3 - Permeability of sandstone during weathering....Ch. 2.3 - Mineral flotation in water study. Refer to the...Ch. 2.3 - Contact lenses for myopia. Myopia (i.e.,...Ch. 2.3 - Active nuclear power plants. The U.S. Energy...Ch. 2.4 - What is the range of data set?
Ch. 2.4 - Prob. 74UPCh. 2.4 - Prob. 75UPCh. 2.4 - Prob. 76UPCh. 2.4 - Prob. 77UPCh. 2.4 - 2.58 Calculate the variance and standard deviation...Ch. 2.4 - Prob. 79LMCh. 2.4 - Prob. 80LMCh. 2.4 - 2.62 Using only integers between 0 and 10,...Ch. 2.4 - Prob. 82LMCh. 2.4 - 2.63 Consider the following sample of five...Ch. 2.4 - Prob. 84LMCh. 2.4 - Use the applet entitled Standard Deviation to find...Ch. 2.4 - Use the applet Standard Deviation to study the...Ch. 2.4 - Use the applet Standard Deviation to study the...Ch. 2.4 - Shell lengths of sea turtles. Aquatic Biology...Ch. 2.4 - Shaft graves in ancient Greece. Refer to the...Ch. 2.4 - Music performance anxiety. Refer to the British...Ch. 2.4 - Characteristics of a rockfall. Refer to the...Ch. 2.4 - 2.68 Is honey a cough remedy? Refer to the...Ch. 2.4 - 2.65 Permeability of sandstone during weathering....Ch. 2.4 - Check teeth of extinct primates. Refer to the...Ch. 2.4 - 2.69 Active nuclear power plants. Refer to...Ch. 2.5 - To what kind of data sets can Chebyshev’s rule be...Ch. 2.5 - Prob. 94UPCh. 2.5 - Prob. 95UPCh. 2.5 - 2.72 For any set of data, what can be said about...Ch. 2.5 - 2.73 For a set of data with a mound-shaped...Ch. 2.5 - 2.74 The following is a sample of 25...Ch. 2.5 - 2.75 Given a data set with a largest value of 760...Ch. 2.5 - 2.78 Do social robots walk or roll? Refer to the...Ch. 2.5 - Sanitation inspection of cruise ships. Refer to...Ch. 2.5 - 2.80 Motivation of drug dealers. Consider a study...Ch. 2.5 - Dentists’ use of anesthetics. A study published in...Ch. 2.5 - Irrelevant speech effects. Refer to the Acoustical...Ch. 2.5 - Corporate sustainability of CPA firms. Refer to...Ch. 2.5 - Characteristics of antiwar demonstrators. The...Ch. 2.5 - Hand washing versus hand rubbing. As an...Ch. 2.5 - Velocity of Winchester bullets. The American...Ch. 2.5 - 2.77 Permeability of sandstone during weathering....Ch. 2.5 - 2.85 Shopping vehicle and judgment. While shopping...Ch. 2.5 - Animal-assisted therapy for heart patients. A...Ch. 2.5 - 2.87 Land purchase decision. A buyer for a lumber...Ch. 2.6 - For a quantitative data set
What is the 50th...Ch. 2.6 - 2.91 Give the percentage of measurements in a data...Ch. 2.6 - Prob. 116UPCh. 2.6 - 2.90 Compute the z-score corresponding to each of...Ch. 2.6 - Prob. 118LMCh. 2.6 - 2.94 Suppose that 40 and 90 are two elements of a...Ch. 2.6 - Math scores of twelfth graders. According to the...Ch. 2.6 - Drivers stopped by police. According to the Bureau...Ch. 2.6 - Stability of compounds in new drugs. Refer to the...Ch. 2.6 - Sanitation inspection of cruise ships. Refer to...Ch. 2.6 - Motivation of drug dealers. Refer to the Applied...Ch. 2.6 - 2.99 Lead in drinking water. The U.S....Ch. 2.6 - 2.96 Voltage sags and swells. Refer to the...Ch. 2.6 - 2.102 Blue- vs. red-colored exam study. In a study...Ch. 2.6 - 2.103 Ranking PhD programs in economics. Thousands...Ch. 2.6 - 2.105 Ranking PhD programs in economics (cont’d)....Ch. 2.6 - 2.104 Using z-scores for grades. At one...Ch. 2.7 - What is the interquartile range?
Ch. 2.7 - What are the hinges of a box plot?
Ch. 2.7 - With mound-shaped data, what proportion of the...Ch. 2.7 - Define an outlier.
Ch. 2.7 - 2.107 Suppose a data set consisting of exam scores...Ch. 2.7 - 2.108 Consider the horizontal box plot shown...Ch. 2.7 - 2.106 A sample data set has a mean of 57 and a...Ch. 2.7 - Consider the following sample data set. Construct...Ch. 2.7 - Consider the following sample data set.
Construct...Ch. 2.7 - Use the applet Standard Deviation to determine...Ch. 2.7 - Blond hair types in the Southwest Pacific. A...Ch. 2.7 - Dentists’ use of anesthetics. Refer to the Current...Ch. 2.7 - Research on brain specimens. Refer to the Brain...Ch. 2.7 - Prob. 144ACBCh. 2.7 - Prob. 145ACBCh. 2.7 - 2.112 Treating psoriasis with the “Doctorfish of...Ch. 2.7 - Sanitation Inspection of cruise ships. Refer to...Ch. 2.7 - Prob. 148ACICh. 2.7 - Prob. 149ACICh. 2.7 - Is honey a cough remedy? Refer to the Archives of...Ch. 2.7 - 2.119 Permeability of sandstone during weathering....Ch. 2.7 - Library book checkouts. A city librarian claims...Ch. 2.7 - Untutored second language acquisition. A student...Ch. 2.8 - Define a bivariate relationship.
Ch. 2.8 - Prob. 155UPCh. 2.8 - Prob. 156UPCh. 2.8 - Prob. 157LMCh. 2.8 - Prob. 158LMCh. 2.8 - Prob. 159ACBCh. 2.8 - Prob. 160ACBCh. 2.8 - Prob. 161ACBCh. 2.8 - Feeding behavior of fish. The feeding behavior of...Ch. 2.8 - New method for blood typing. In Analytical...Ch. 2.8 - Prob. 164ACICh. 2.8 - Plants that grow on Swiss cliffs. A rare plant...Ch. 2.8 - Prob. 166ACICh. 2.8 - Prob. 168ACACh. 2.8 - Ranking driving performance of professional...Ch. 2.9 - Museum management. Refer to the Museum Management...Ch. 2.9 - Trend in Iraq War casualties. While the United...Ch. 2.9 - 2.138 BP oil leak. In the summer of 2010, an...Ch. 2.9 - Irrelevant speech effects. Refer to the Acoustical...Ch. 2 - Prob. 174UPCh. 2 - 2.140 Discuss the conditions under which the...Ch. 2 - Prob. 176UPCh. 2 - Prob. 177UPCh. 2 - Prob. 178UPCh. 2 - Prob. 179LMCh. 2 - Prob. 180LMCh. 2 - Prob. 181LMCh. 2 - Prob. 182LMCh. 2 - Prob. 183LMCh. 2 - For each of the data sets in parts a–d, compute ,...Ch. 2 - Prob. 185LMCh. 2 - Prob. 186ACBCh. 2 - Prob. 187ACBCh. 2 - Reading Japanese books. Refer to Exercise 2.187....Ch. 2 - Prob. 189ACBCh. 2 - Crash tests on new cars. Each year, the National...Ch. 2 - Crash tests on new cars. Refer to Exercise 2.190...Ch. 2 - Estimating the age of glacial drifts. Tills are...Ch. 2 - Training zoo animals. “The Training Game” is an...Ch. 2 - Groundwater contamination in wells. Refer to the...Ch. 2 - Sociology fieldwork methods. University of New...Ch. 2 - Radioactive lichen. Lichen has a high absorbance...Ch. 2 - 2.88 Improving SAT scores. The National Education...Ch. 2 - Ammonia in car exhaust. Three-way catalytic...Ch. 2 - College protests of labor exploitation. The United...Ch. 2 - Speed of light front galaxies. Astronomers...Ch. 2 - Whistling dolphins. Marine scientists who study...Ch. 2 - Sentence complexity study. A study published in...Ch. 2 - Prob. 203ACICh. 2 - Archaeologists’ study of ring diagrams....Ch. 2 - Oil spill impact on seabirds. The Journal of...Ch. 2 - Benford’s Law of Numbers. According to Benford’s...Ch. 2 - Speed of light from galaxies. Refer to The...Ch. 2 - Standardized test “average.” U.S. News & World...Ch. 2 - Zinc phosphide in pest control. A chemical company...Ch. 2 - Grades in statistics. The final grades given by...Ch. 2 - Salaries of professional athletes. The salaries of...Ch. 2 - 2.170 No Child Left Behind Act. According to the...Ch. 2 - The Hite Report. Researcher Shere Hite shocked...
Knowledge Booster
Learn more about
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
- Table of hours of television watched per week: 11 15 24 34 36 22 20 30 12 32 24 36 42 36 42 26 37 39 48 35 26 29 27 81276 40 54 47 KARKE 31 35 42 75 35 46 36 42 65 28 54 65 28 23 28 23669 34 43 35 36 16 19 19 28212 Using the data above, construct a frequency table according the following classes: Number of Hours Frequency Relative Frequency 10-19 20-29 |30-39 40-49 50-59 60-69 70-79 80-89 From the frequency table above, find a) the lower class limits b) the upper class limits c) the class width d) the class boundaries Statistics 300 Frequency Tables and Pictures of Data, page 2 Using your frequency table, construct a frequency and a relative frequency histogram labeling both axes.arrow_forwardA study was undertaken to compare respiratory responses of hypnotized and unhypnotized subjects. The following data represent total ventilation measured in liters of air per minute per square meter of body area for two independent (and randomly chosen) samples. Analyze these data using the appropriate non-parametric hypothesis test. Unhypnotized: 5.0 5.3 5.3 5.4 5.9 6.2 6.6 6.7 Hypnotized: 5.8 5.9 6.2 6.6 6.7 6.1 7.3 7.4arrow_forwardThe class will include a data exercise where students will be introduced to publicly available data sources. Students will gain experience in manipulating data from the web and applying it to understanding the economic and demographic conditions of regions in the U.S. Regions and topics of focus will be determined (by the student with instructor approval) prior to April. What data exercise can I do to fulfill this requirement? Please explain.arrow_forward
- Consider the ceocomp dataset of compensation information for the CEO’s of 100 U.S. companies. We wish to fit aregression model to assess the relationship between CEO compensation in thousands of dollars (includes salary andbonus, but not stock gains) and the following variates:AGE: The CEOs age, in yearsEDUCATN: The CEO’s education level (1 = no college degree; 2 = college/undergrad. degree; 3 = grad. degree)BACKGRD: Background type(1= banking/financial; 2 = sales/marketing; 3 = technical; 4 = legal; 5 = other)TENURE: Number of years employed by the firmEXPER: Number of years as the firm CEOSALES: Sales revenues, in millions of dollarsVAL: Market value of the CEO's stock, in natural logarithm unitsPCNTOWN: Percentage of firm's market value owned by the CEOPROF: Profits of the firm, before taxes, in millions of dollars1) Create a scatterplot matrix for this dataset. Briefly comment on the observed relationships between compensationand the other variates.Note that companies with negative…arrow_forward6 (Model Selection, Estimation and Prediction of GARCH) Consider the daily returns rt of General Electric Company stock (ticker: "GE") from "2021-01-01" to "2024-03-31", comprising a total of 813 daily returns. Using the "fGarch" package of R, outputs of fitting three GARCH models to the returns are given at the end of this question. Model 1 ARCH (1) with standard normal innovations; Model 2 Model 3 GARCH (1, 1) with Student-t innovations; GARCH (2, 2) with Student-t innovations; Based on the outputs, answer the following questions. (a) What can be inferred from the Standardized Residual Tests conducted on Model 1? (b) Which model do you recommend for prediction between Model 2 and Model 3? Why? (c) Write down the fitted model for the model that you recommended in Part (b). (d) Using the model recommended in Part (b), predict the conditional volatility in the next trading day, specifically trading day 814.arrow_forward4 (MLE of ARCH) Suppose rt follows ARCH(2) with E(rt) = 0, rt = ut, ut = στει, σε where {+} is a sequence of independent and identically distributed (iid) standard normal random variables. With observations r₁,...,, write down the log-likelihood function for the model esti- mation.arrow_forward
- 5 (Moments of GARCH) For the GARCH(2,2) model rt = 0.2+0.25u1+0.05u-2 +0.30% / -1 +0.20% -2, find cov(rt). 0.0035 ut, ut = στει,στ =arrow_forwardDefinition of null hypothesis from the textbook Definition of alternative hypothesis from the textbook Imagine this: you suspect your beloved Chicken McNugget is shrinking. Inflation is hitting everything else, so why not the humble nugget too, right? But your sibling thinks you’re just being dramatic—maybe you’re just extra hungry today. Determined to prove them wrong, you take matters (and nuggets) into your own hands. You march into McDonald’s, get two 20-piece boxes, and head home like a scientist on a mission. Now, before you start weighing each nugget like they’re precious gold nuggets, let’s talk hypotheses. The average weight of nuggets as mentioned on the box is 16 g each. Develop your null and alternative hypotheses separately. Next, you weigh each nugget with the precision of a jeweler and find they average out to 15.5 grams. You also conduct a statistical analysis, and the p-value turns out to be 0.01. Based on this information, answer the following questions. (Remember,…arrow_forwardBusiness Discussarrow_forward
- Cape Fear Community Colle X ALEKS ALEKS - Dorothy Smith - Sec X www-awu.aleks.com/alekscgi/x/Isl.exe/10_u-IgNslkr7j8P3jH-IQ1w4xc5zw7yX8A9Q43nt5P1XWJWARE... Section 7.1,7.2,7.3 HW 三 Question 21 of 28 (1 point) | Question Attempt: 5 of Unlimited The proportion of phones that have more than 47 apps is 0.8783 Part: 1 / 2 Part 2 of 2 (b) Find the 70th The 70th percentile of the number of apps. Round the answer to two decimal places. percentile of the number of apps is Try again Skip Part Recheck Save 2025 Mcarrow_forwardHi, I need to sort out where I went wrong. So, please us the data attached and run four separate regressions, each using the Recruiters rating as the dependent variable and GMAT, Accept Rate, Salary, and Enrollment, respectively, as a single independent variable. Interpret this equation. Round your answers to four decimal places, if necessary. If your answer is negative number, enter "minus" sign. Equation for GMAT: Ŷ = _______ + _______ GMAT Equation for Accept Rate: Ŷ = _______ + _______ Accept Rate Equation for Salary: Ŷ = _______ + _______ Salary Equation for Enrollment: Ŷ = _______ + _______ Enrollmentarrow_forwardQuestion 21 of 28 (1 point) | Question Attempt: 5 of Unlimited Dorothy ✔ ✓ 12 ✓ 13 ✓ 14 ✓ 15 ✓ 16 ✓ 17 ✓ 18 ✓ 19 ✓ 20 = 21 22 > How many apps? According to a website, the mean number of apps on a smartphone in the United States is 82. Assume the number of apps is normally distributed with mean 82 and standard deviation 30. Part 1 of 2 (a) What proportion of phones have more than 47 apps? Round the answer to four decimal places. The proportion of phones that have more than 47 apps is 0.8783 Part: 1/2 Try again kip Part ی E Recheck == == @ W D 80 F3 151 E R C レ Q FA 975 % T B F5 10 の 000 园 Save For Later Submit Assignment © 2025 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility Y V& U H J N * 8 M I K O V F10 P = F11 F12 . darrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman

MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc

Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning

Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning

Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON

The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman

Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Correlation Vs Regression: Difference Between them with definition & Comparison Chart; Author: Key Differences;https://www.youtube.com/watch?v=Ou2QGSJVd0U;License: Standard YouTube License, CC-BY
Correlation and Regression: Concepts with Illustrative examples; Author: LEARN & APPLY : Lean and Six Sigma;https://www.youtube.com/watch?v=xTpHD5WLuoA;License: Standard YouTube License, CC-BY