1.Given the data below, compute the following:a.Correlation coefficienti. r=ii. Is the relationship (select one).Strongly correlatedModerately correlated• Weakly correlated• No correlationiii. In what direction is the correlation, interpret in the context of the data.Calculate the SlopeC.Calculate the Interceptd. Use parts b. and c. to write down the regression equation.Hours xTestScoresnHoursScoreHours^2Score ^2Studying040251464569735756937909795SUMSe.Use the regression equation to predict the test scores (y's) for the given hours of stui. X=3 hoursii. X=6.5 hoursb.123456785

Hey there! Thank you for posting the question. Since your question has more than 3 parts, we are…

Answered: 1. Given the data below, compute the…

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

do the following a.) construct a scatter plot. b.) determine the direction of the straight line that the data points seem to follow. c.) determine the strength of correlation between the two variables depicted in each scatter plot. 1. x 1 2 3 4 5 6 7 8 y 15 20 20 25 32 30 35 22
Match the following choices with the given diagrams. A. Positive linear correlation B. Negative linear correlation C. No linear correlation 10 20 y 20 y 10 10 40 2- -50 10
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.
Identify the type of correlation in the following scatter plot. e Skip step McCully, Aliyah 9. 24AMCCully21C
In a city of 45,000 homes, a survey was taken to determine the number with Wi-Fi access. Of the 500 homes surveyed, 300 had Wi-Fi access. Estimate the number of homes in the city that have Wi-Fi access.
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. The average cost of a laptop and the attendance at a water park on a given day
Please use the values from the given r values and assign the accurate value to the plots A,B,C, or D.
Customers at a large department store rated their satisfaction with their purchases, on a scale from 1 (least satisfied) to 10 (most satisfied). The cost of their purchases was also recorded. To three decimal places, determine the correlation coefficient between rating and purchase amount spent. Then describe the strength and direction of the relationship.
The amygdala is a brain structure involved in the processing and memory of emotional reactions. In a research project, 10 subjects were shown emotional video clips. They then had their brain scanned with positron emission tomography (PET) and their memory of the clips was assessed quantitatively. Here are the relative amygdala activity and the memory score for each subject: The relationship is (Linear or curved) and ( Moderate, weak, or strong)? The direction of the realtionship is (Negitive or positive)? The amygdala and memory 3/4: The correlation coefficient between relative activity and memory score is: (round your answer to 3 decimal places)
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?
An indication of no linear relationship between two variables would be a coefficient of Select one: a. Determination equal to 1 b. Determination equal to −1 c. Correlation of 0 d. Correlation equal to −1 e. Both A and B
3. The speed (in miles per hour) of 8 vehicles and their braking distance (in feet) when stopping on a dry surface speed, x braking distance, y 20 30 40 50 50 60 65 70 55 72 75 110 138 162 193 225 type of correlation: Conclusion

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