The number of hours 10 students spent studving for a test and their scores on that test are shown in the table, Is there enough evidence to conclude that there is asignificant linear correlation between the data? Use a = 0.05.Hours, x144244678Test score, y375056616873738293E Click here to view a table of critical values for Student's t-distribution.Setup the hypothesis for the test.Ho: P%3DHa:p # 0Identify 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 to =O B. The eritical value is

Solution-: Given: α=0.05 (a) State the hypothesis (b) Identify the critical values

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

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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.
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
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…
Fill in the blanks. a. Positive correlations between observations of the response variable result in an underestimate of ________. b. Data collected from a designed experiment is generally preferable to data obtained from ________. c. Adata point whose removal has a substantial effect on one or more sample regression coefficients is called an _________.
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
Here is a scatter plot for a set of bivariate data. Q What would you estimate the correlation coefficient to be? -0.9 -0.60 0.6 0.9 O Video Question Help: Submit Question

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