Answered: 13. The following table shows the… | bartleby

MATLAB: An Introduction with Applications

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

Practice Pack

13. The following table shows the distribution of nappies consumed per day by number of babies
in a sample of childminders.
babies
nappies
8
40
11
33
5
10
7
28
6
30
8
56
5
15
13.1) Find the correlation coefficient. Comment briefly on the result.
13.2) Find the equation of the line of best fit when Y= nappies per day and X = number of
babies.
13.3) Comment briefly on the slope and intercept of the line of best fit.
13.4) Elli decides to start to work as a childminder and wants to provide nappies. She plans to
accept 5 babies. What is the estimated number of nappies per day she needs to buy based
on the regression equation? If she buys 19 nappies per day is this more or less than the
number predicted by the line of best fit, and if so, by how much?

Expert Solution

Learn your way

Includes step-by-step video

Step by step

Solved in 2 steps with 1 images

SEE SOLUTION Check out a sample Q&A here

Blurred answer

Similar questions

The store manager of a business that sells jackets is curious if the weather temperature (in degrees Celsius) per day is related to the daily sales (in pesos) earned by the store. He took some random samples and recorded the temperatures and sales for the selected days, which can be found in the next slide. Calculate the correlation coefficient and interpret the result.
True or false .If there is no linear correlation between enrollment and the number of burglaries , then those two variables are not related in anyway. Explain why ?
The professor of an introductory statistics course has found something interesting: there is a small correlation between scores on his first midterm and the number of years the test-takers have spent at the university. For the 55 students taking the course, the professor found that the two variables number of years Espa spent by the student at the university and score on the first midterm have a sample correlation coefficient r of about -0.36. Test for a significant linear relationship between the two variables by doing a hypothesis test regarding the population correlation coefficient p. (Assume that the two variables have a bivariate normal distribution.) Use the 0.05 level of significance, and perform a two-tailed test. Then complete the parts below. (If necessary, consult a list of formulas.) (a) State the null hypothesis H and the alternative hypothesis H . Aa 0, B H, :0 H : O=0 (b) Determine the type of test statistic to use. (Choose one) ▼ O
Major League Baseball (MLB) consists of 30 The earned run average, ERA, is a statistic used to measure a pitcher's (the person who throws the ball to the person trying to hit the ball) effectiveness. The lower the ERA, the more effective the pitcher is. Statisticians are trying to show there is a correlation between the team’s ERA and the number of wins. The data on the spreadsheet is from all the teams in the 2021 regular season. Find the equation for the regression line for this data. Find the correlation coefficient and R2. State the Null and Alternate Hypothesis. State Decision Rule and Critical Value at the 5% significance level (think about whether this should be a one or two tailed test and which test statistic needs to be calculated). Compute the test statistic and p-value. What is your decision concerning Null? What does that mean? If the ERA were 4.5, what is the predicted number of wins (ŷ) using the regression line? ERA to wins in 2021 (n = 30)…
The accompanying table shows the years of experience of 10 salesmen and their annualsales (in ’000 dollar) respectivelyi) Find the correlation coefficient between sales and experience from the above data.ii) Construct a scatter plot.iii) What does the plot suggest about the nature of the relationship between the two variables? Also comment on your result.
8. Determine if the correlation between the two given variables is likely to be positive or negative, or if they are not likely to display a linear relationship. a) The average selling price of a model of car and the cost of a loaf of bread on a given day b) The number of crimes committed in an area and the selling price of homes in that area c) The number of pets owned by a family and the cost of their vet bills
17 and 18
Q3. An aluminum company summarized their gross sales in national, regional and international. From the data below, compute and graph the correlation coefficient r_from MS Excel. National 90.29 88.36 93.69 102.34 77.11 77.84 Gross Sales (in $millions) Regional 317.56 261.99 249.54 290.01 292.05 301.46 International 976.46 878.99 795.54 896.03 938.47 934.60
16. In comparing the relationship between rainfall and hot dog sales, a student finds the correlation to be r = -0.56. What is the best description of the relationship between these two sets of data? Group of answer choices Negative and Strong Positive and Weak Negative and Moderate Positive and Moderate
Please help
5. True or False a) The correlation coefficient will always be negative when the slope of the line of best fit is negative. Explain your reasoning. Line B: y = 4x - 6 b) Two lines of best fit have these equations: Line A: y = 2x + 4 Joe says that line B has a stronger correlation since it has a greater slope. Explain. c) Merner's golf drives have a mean distance of 200 m with a standard deviation of 5 m, while Phillip's golf drives have a mean distance of 215 m with a standard deviation of 25 m. Merner is a better golfer than Philips since he is more consistent and has a higher average drive distance.

Recommended textbooks for you

MATLAB: An Introduction with Applications

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

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 for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

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 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…

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

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

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS