2:18(a) Draw a scatter diagram of the data. Choose the correct graph below.KFor the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c)determine whether there is a linear relation between x and y.Click the icon to view the data set.Click the icon to view the critical values table.O A.Ау10-0-010|||B.=AyPrint10-0-0Critical Values for Correlation Coefficientcritical values for the correlation coefficientn30.9974 0.9505 0.8786 0.8117 0.75480.7079 0.66610 0.63211 0.60212 0.57613 0.55314 0.53215 0.51416 0.49717 0.48218 0.46819 0.45620 0.44421 0.43322 0.4231023 0.41324 0.40425 0.39626 0.38827 0.38128 0.37429 0.36730 0.361QDoneC.OAy10+10Vo) 1LTE2.II 4GIXO D.Ay45%10+10 Data setXy7862667995D

Given: n = 5 Formula Used: r = n∑XY-∑X∑Yn∑X2-∑X2n∑Y2-∑Y2

Answered: K For the accompanying data set, (a)…

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

Similar questions

5. Describe the relationship between the data in the scatter plot. 6. Describe the relationship between the data in the scatter plot. 1000 800 600 400 200 0 ty X 0 1 2 3 4 4-2 Analyze Linear Associations 53
C learn.vccs.edu/courses/474823/assignments/9794759 Identify if the following correlation. Describe if it is strong, weak, or no correlation. Then determine if the relationship is positive, negative, or neither. Explain your answer. O ● OHO ● ● ● ● O acer Provide your answer in the box below.
A manager of a local retail store analyzes the relationship between the number of rainy days and sales by reviewing the store’s data for the previous six months. She computes the correlation between sales and number of rainy days as -0.90. Select ALL that apply. a. There is a strong positive linear relationship between sales and number of rainy days. b. As the number of rainy days increases sales decrease. c. As the number of rainy days increases sales increase. d. There is a strong negative linear relationship between sales and the number of rainy days.
Solve attached photo.
A car dealership is analyzing the changes in its monthly sales. They sold 40 cars in March, 55 in April, 61 in May, 29 in June, 63 in July, and 40 in August. Create line graph that represents this data. 3.
The data in the accompanying table represent the annual rates of return for various stocks. If you only wish to invest in two stocks, which two would you select if your goal is to have low correlation between the two investments? Which two would you select if your goal is to have one stock go up when the other goes down? E Click the icon to view the table of annual rates of returns. If your goal is to have low correlation between the two investments, which two should stocks should you select? O A. Stock B and Stock C O B. Stock A and Stock C Annual Rates of Returns O C. Stock A and Stock B Year Stock A Stock B Stock C 0.031 - 0.468 0.115 2 1.495 0.045 0.130 0.208 0.123 0.161 4 -0.072 0.308 - 0.051 - 0.251 - 0.004 - 0.041 5 0.016 6 -0.144 0.484 7 0.099 0.083 0.105 - 0.043 - 0.011 8 - 0.051 0.008 0.165 0.094 10 0.090 -0.176 0.104 11 0.250 - 0.308 0.295
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
Construct a scatter plot for the given data. Determine whether there is a positive correlation, negative correlation, or no linear correlation. x-5-34 1 |-1-202 3-4 y11 6 |-6-13 4 1-4-58
Which correlation coefficient indicates that you have the strongest connection between the variables in the data? O r= 0.88 O r= -0.89 O r= 0.93 O r= -0.95 ent.mastensonnect.com/ Ipe bese to search
Jim and Larry run a soup stand. The data below represents the sales of soup that they had on 8 randomly selected days, along with the high temperature on that day. a) Create a scatter diagram for this data set and comment on whether there is a positive or negative relationship between these variables.b) Calculate the correlation coefficient between temperature and sales.c) Does a linear relationship exist between these variables? Explain to me why or why not this is the case.d) Using excel, calculate the least squares regression equation for this data set. e) Using your equation, predict the soup sales on a day where the temperature is 29 degrees.f) Interpret the slope of this equation.g) Can we use this data set and regression equation to predict the sales on a day when the average temperature is 102 degrees? Why or why not?h) What is the R-squared for this equation? How do you interpret that R-squared?
Help
a. Calculate the sample covariance.X Y-3 -913 95 12b. Calculate the sample correlation.c. Describe in words the information given to us by the sample covariance and by the sample correlation.Explain how the correlation gives us more precise information.d. Explain why the covariance is not a good measure of the strength of the linear relationship between the twovariables.e. Sketch a scatterplot of a bivariate dataset with a correlation of 0.9f. Sketch a scatterplot of a bivariate dataset with a correlation of -0.3.

SEE MORE QUESTIONS

Recommended textbooks for you

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

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

SEE MORE TEXTBOOKS