The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is thereenough evidence to conclude that there is a significant linear correlation between the data? Use a = = 0.01.Hours, x0244558Test score, y5048 63707191EEE Click here to view a table of critical values for Student's t-distribution.143Setup the hypothesis for the test.Ho: PH₂: P00M673784

We have given that the two variables X that represents the number of hours 10 students spent…

Answered: The number of hours 10 students spent…

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

The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a = 0.05. Hours, x Test score, y 1 4 4 44 55 55 63 69 5 7 91 42 75 73 80 Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Họ: P Ha: p 0 Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) O A. The critical values are - to = and tn = O B. The critical value is Calculate the test statistic. (Round to three decimal places as needed.) t= What is your conclusion? There enough evidence at the 5% level of significance to conclude that there a significant linear correlation between hours spent studying and test score.
What are the critical values
For the X and Y, data below, compute the Pearson correlation. Also, perform a hypothesis test to determine if it is significantly different from zero or not. What is the test significance (i.e., p-value)? Please round your answers to the fourth decimal place. X Y 2 Test Significance 5 Pearson Correlation 4 6 4 7 5 11 6 12
The data below are the final scores of 10 randomly selected statistics students and the number of hours they studied for the final. What is the best-predicted value for y given x = 6? Assume that the variables x and y have a significant correlation. hours x: 3,5,2,8,2,4,4,5,6,3 scores y: 65,80,60,88,66,78,85,90,90,71 A.84 B.86 C.85 D.87
he data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 51 inches. Is the result close to the actual weight of 4 punds? Use a significance level of 0.05. thest size (inches) Veight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r. 45 43 43 52 52 352 374 275 314 440 367 Critical Values of the Pearson Correlation Coefficient r What is the regression equation? Critical Values of the Pearson Correlation Coefficient r a = 0.05 NOTE: To test Ho: p=0 against H, p#0, reject Ho if the absolute value of r is greater than the critical value in the table. y%3= x (Round to one decimal place as needed.) a = 0.01 4 0.950 0.990 0.878 0.959 0.811 0.917 0.754 0.875 8. 0.707 0.834 9. 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.606 0.590…
The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a= 0.01. Hours, x Test score, y 1 2 4 5 6. 74 79 4 7 8 37 45 54 57 62 66 84 90 E Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. - X Data table Ho: P o H: P Level of confidence, c One tail, a Two tails, a 0.50 0.80 0.90 0.95 0.98 0.99 0.25 0.10 0.05 0.025 0.01 0.005 d.f. 0.50 0.20 0.10 0.05 0.02 0.01 1 3.078 1.000 0.816 0.765 6.314 12.706 31.821 63.657 6.965 9.925 2 1.886 1.638 1.533 2.920 4.303 %3D 3 2.353 3.182 4.541 5.841 4 0.741 2.132 2.776 3.747 4.604 4.032 3.707 5 0.727 1.476 2.015 1.943 2.571 3.365 6 0.718 1.440 2.447 3.143 7 0.711 1.415 1.895 2.365 2.998 3.499 8 0.706 1.397 1.860 2.306 2.896 3.355 0.703 1.383 1.372 1.363 1.833 2.262 2.821 3.250 10 0.700 1.812 2.228 2.201 2.179 2.764 3.169 11 0.697…
The scatterplot below shows the relationship between two random variables X and Y. (a) Is the correlation a good metric for describing the relationship between X and Y for these data? Why or why not? Regardless of your answer suppose you calculated the sample correlation between X and Y and found that r = -0.15. Explain in one sentence what this means. (b) If, as noted in (a), r = -0.15 then what is the value of the correlation between 2X and 5Y? (c) Based on (b) draw your best approximation to the least squares regression line that fits the data above. Also, make a rough sketch of the corresponding residual plot.
The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a=0.01. Hours, x Test score, y Click here to view a table of critical values for Student's t-distribution. 0 43 1 2 4 4 5 5 41 53 48 60 66 72 Setup the hypothesis for the test. Ho: P 0 HP YO Calculate the test statistic. There Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) OA. The critical values are -to = and to = OB. The critical value is t= (Round to three decimal places as needed.) What is your conclusion? 6 82 7 8 80 95 enough evidence at the 1% level of significance to conclude that there a significant linear correlation between hours spent studying and test score.
A magazine tested paints. The table below shows the overall quality score and cost in dollars per gallon. Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of alpha equals 0.05. Based on these results, do you get better quality paint by paying more? a. Calculate the test statistic. r s equals (Round to three decimal places as needed.) b. Find the critical values. r s equals plus or minus (Round to three decimal places as needed.)
X Y 7 3 3 1 6 5 4 4 5 2 Compute the Pearson correlation What is your conclusion? Be sure to state your rejection and interpretation. Also, give the statistics in APA style. Use a two-tailed test and alpha of .05
The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a = 0.05. Hours, x Test score, y 2 50 55 E Click here to view a table of critical values for Student's t-distribution. 1 4 4 5 7 8 39 47 65 67 76 78 83 95 Setup the hypothesis for the test. Họ: p 0 Ha: p Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) O A. The critical value is O B. The critical values are - to = and to = Calculate the test statistic. t= (Round to three decimal places as needed.) What is your conclusion? There enough evidence at the 5% level of significance to conclude that there a significant linear correlation between hours spent studying and test score. is or is not isNot
The paired data below consists of heights and weights of 6 randomly selected adults. Find the linear correlation coefficient, the linear regression line, and predict the weight of a randomly selected person who is 1.69 meters tall. X Height (meters) 1.61 1.72 1.78 1.80 1.67 1.88 Y Weight (kg) 54 62 70 84 61 92

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