Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 11 14 6 4 12 7 7.45 6.76 12.75 7.11 7.81 8.85 6.08 5.39 8.16 6.42 5.72 Click here to view a table of critical values for the correlation coefficient. A Table of Critical Values - X a. Construct a scatterplot. Choose the correct graph below. OA. O B C. AY 16- Ay 16- Q Ay 16- a = .05 a = 01 12- 12- 12- 4 .950 .990 8- 8- 8- ....... 878 .959 4- 4- 4- 6 811 .917 .754 875 12 16 8 12 16 8. 707 .834 9. .666 798 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. 10 .632 .765 The linear correlation coefficient is r=O .602 11 .735 12 .576 .708 (Round to three decimal places as needed.) 13 .553 684 14 .532 .661 15 .514 .641 16 .497 .623 17 482 .606 18 468 .590 19 456 575 20 444 .561 25 396 .505 30 361 463 35 335 430 40 312 402 45 294 .378 50 279 361 60 254 330 70 236 .305 80 220 286 90 207 269 100 196 256 NOTE: To test Hop = 0 against H: p* 0, reject Ho if the absolute value of r is greater than the critical value in the table

Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 11 14 6 4 12 7 7.45 6.76 12.75 7.11 7.81 8.85 6.08 5.39 8.16 6.42 5.72 Click here to view a table of critical values for the correlation coefficient. A Table of Critical Values - X a. Construct a scatterplot. Choose the correct graph below. OA. O B C. AY 16- Ay 16- Q Ay 16- a = .05 a = 01 12- 12- 12- 4 .950 .990 8- 8- 8- ....... 878 .959 4- 4- 4- 6 811 .917 .754 875 12 16 8 12 16 8. 707 .834 9. .666 798 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. 10 .632 .765 The linear correlation coefficient is r=O .602 11 .735 12 .576 .708 (Round to three decimal places as needed.) 13 .553 684 14 .532 .661 15 .514 .641 16 .497 .623 17 482 .606 18 468 .590 19 456 575 20 444 .561 25 396 .505 30 361 463 35 335 430 40 312 402 45 294 .378 50 279 361 60 254 330 70 236 .305 80 220 286 90 207 269 100 196 256 NOTE: To test Hop = 0 against H: p* 0, reject Ho if the absolute value of r is greater than the critical value in the table

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

View table of critical values for the correlation coefficient.
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?
8zzzzz
E Question Help Use the given data set to complete parts (a) through (c) below. (Use a=0.05) 11 9.26 10 6. 14 8.11 8 6. 6.13 13 4 12 9.14 8.14 8.75 8.77 3.09 9.13 7.26 4.74 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. OA. O B. OC. O D. Ay 10- 本y 10- Ay 10- Ay 10 - 8- 8- 8- 8- 6- 6- 6- 6- 4- 4- 4- 4- 2- 2- 2- 2- 0- 4 0- 0- -> 0- 41 81 12 16 4 8. 12 16 8 12 16 4 8 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Click to select your answer(s). earch 0耳 a
(e)
First Paired Data Set 4 10 13 11 19 21 36. Use the First Paired Data Set. Find the correlation coefficient r. A. 0.862 B. 0.943 C. 0.725 D. 0.607
please solve the rest
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
UnattemptedQuestion 1Expand PreviousNext The data below was collected from manufacturer advertisements of their vehicles' horsepower and highway gas mileage (mpg.). Use this data to answer the following questions. x 158 250 340 350 390 190 220 y 33 28 15 17 11 35 42 1. Find the p-value to determine if there is a linear correlation between horsepower and highway gas mileage (mpg). If there is a linear correlation, write the correlation coefficient below if there is a linear correlation, write the regression equation below. Using the data shown above, predict the the highway gas mileage (mpg) for a car that has a horsepower of 225 If there is a linear correlation, what percentage of variation in highway gas mileage (mpg) can be explained by horsepower?
Match the linear correlation coefficient value that best approximate each given scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. Explanatory (II) Explanatory (I). Explanatory Explanatory (III) (IV) Response Response Response
Please show work
The data given below are the amount of export (x in 00 million taka) of fish and amount of export (y in 00 million of taka ) in different years. X у 7 10 17 22 1. Calculate 13 12 14 16 15 24 25 28 37 40 correlation coefficient of x and y and comment. 2. Test the significance of correlation at 5% level of significance and comment