←Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.)109.1588.14138.74Click here to view a table of critical values for the correlation coefficient.Xya. Construct a scatterplot. Choose the correct graph below.O A.AY10+8-642-QQOB.Ay10+&64-2-......98.76QQ119.25148.11CDO C.AY10+8!!!!!!!!64-2-48 12 1666.12Q43.11AOD.129.14Aу10-8-6-4-2-0*****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.The linear correlation coefficient is r(Round to three decimal places as needed.)Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below.QQG77.2754.749

The question is about correlation Given : To find : a ) construct scatter plot b ) value of…

Answered: Use the given data set to complete…

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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Use the data in the table, which shows the average annual salaries (both in thousands of dollars) for public school principals and teachers in the U.S. for 11 years. Apply what you have learned in the previous tab to complete this graded lab questions. 1. Repeat the steps from tab #1 using this data to construct a scatter plot graph and calculate the correlation coefficient R. (Recall the corelation coefficient is R and not R Teachers y Principalsx 77.8 43.7 78.4 43.8 80.8 45.0 R= 80.5 45.6, 2. Does the R value represent a positive, negative or no correlation between the salaries ol the teachers and principals? As teacher salaries increase, what happens to prinicipal salaries? 10 11 81.5 45.9 84.8 48.2 12 13 87.7 49,3 3. Write the equation of the regression line for the data below. The equation is y= 14 91.6 51.3 52.9 Teachers y 15 16 95.7 54.4 COD 54.2 =D0.5873x-2.0s07o R=0.995, 17 95.7 4. Use the regression equation that you found in exercise #3 to predict the average annual salary…
Please help me answer the questions about correlation according to the graph. So would it be linear, strong, positive, or no association? Or negative and weak?
L3Q8.Find the type of relationship that exists between the two variables x and y in the scatter plot. A.Zero correlation B.Negative correlation C.Positive correlation D.None of the choices
Please show work
Bt.20.
Consider below the correlation between the test result in the First attempt and the Second attempt. Which of the following statement best describes the diagram? Select one: a the correlation is -1.00 b there is a very weak linear correlation c there is a very strong negative linear correlation d there is a very strong positive correlation
(please solve within 15 minutes I will give thumbs up thanks)
Write a report using Word. Cover the following topics. This file contains some information about different cars. Car Weight (pounds), x Miles per Gallon, y A 2750 31.5 B 3120 27.9 C 3385 23.7 D 3740 23.3 E 4225 21 Create a scatterplot for the data in the Weight and Braking columns. Paste it here. a) Using StatCrunch or TI 83/84 to calculate the linear correlation between the data in the Weight and MPG columns. b) Explain the mathematical relationship between Weight and MPG based on the linear correlation coefficient. Be certain to include comments about the magnitude and the direction of the correlation. c) Write the equation for the least-squares regression line if there is one. d) Predict the miles per gallon of car C and compute the residual.
K Refer to the accompanying scatterplot. The four points in the lower left corner are measurements from women, and the four points in the upper right corner are from men. Complete parts (a) through (e) below. OA. There appears to be a linear correlation because the points form a line. OB. There appears to be a linear correlation because the points form an obvious pattern. OC. There does not appear to be a linear correlation because the points do not form a line. O D. There does not appear to be a linear correlation because the points form an obvious pattern. AY OA. There appears to be a linear correlation because the points form an obvious pattern. OB. There appears to be a linear correlation because the points form a line. OC. There does not appear to be a linear correlation because the points form an obvious pattern. OD. There does not appear to be a linear correlation because the points do not form a line. 12- 9- 0 The correlation coefficient for the points in the lower left corner…
A, B, C, or D?

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