For the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y. E Click the icon to view the data set. E Click the icon to view the critical values table. (a) Draw a scatter diagram of the data. Choose the correct graph below. OA. OB. Oc. OD. AY (b) Compute the correlation coefficient The correlation coefficient is r= (Round to three decimal places as needed.) (c) Determine whether there is a linear relation between x and y Because the correlation coefficient is and the absolute value of the correlation coefficient, is V than the critical value for this data set, linear relation exists between x and y. (Round to three decimal places as needed.)

For the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y. E Click the icon to view the data set. E Click the icon to view the critical values table. (a) Draw a scatter diagram of the data. Choose the correct graph below. OA. OB. Oc. OD. AY (b) Compute the correlation coefficient The correlation coefficient is r= (Round to three decimal places as needed.) (c) Determine whether there is a linear relation between x and y Because the correlation coefficient is and the absolute value of the correlation coefficient, is V than the critical value for this data set, linear relation exists between x and y. (Round to three decimal places as needed.)

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

Determine the correlation coefficient for the data shown in this table: x 1 8 8 15 14 20 y 42 38 30 20 18 11
a. Calculate the correlation coefficient r, letting Row 1 represent the x-values and Row 2 the y-values. r = ____ b. Calculate the correlation coefficient r, letting row 2 represent the x-values and row 1 the y-values. r = _____ c. What effect does switching the variables have on the correlation coefficient?
Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axes are the same for each diagram. (a) r= - (b) r= - 0.546 0.025 0.946 (c) r= - (d) r= - 1 Click the icon to view the scatter diagrams. ..... r= - 0.025 r= - 0.546 r= - 0.946 r= - 1 Drag each of the r-values given above into the appropriate area below. Explanatory Explanatory Explanatory Explanatory Response Response Response Response • .
Find out the correlation existing between X and Y from the following scatter diagram y 60 40 20 20 40 60 a. High Negative Correlation b. Low Positive Correlation c. Low Negative Correlation d. High Positive Correlation
Q1, a. define correlation and it's types. b. write the properties of r.
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?
a. Calculate the sample covariance.X Y-3 -913 95 12b. Calculate the sample correlation.c. Describe in words the information given to us by the sample covariance and by the sample correlation.Explain how the correlation gives us more precise information.d. Explain why the covariance is not a good measure of the strength of the linear relationship between the twovariables.e. Sketch a scatterplot of a bivariate dataset with a correlation of 0.9f. Sketch a scatterplot of a bivariate dataset with a correlation of -0.3.
Dr. Wabld Hamdy given by the following table: y X-4 -2 2 4 --2 0 0.25 0 0 -100 0.25 1 0.25 00 0 2 0.25 0 Find the correlation coefficient between X and Y llu mad and imported automobiles sold
OA. The scatterplot indicates there is a negative, strong, linear relationship between Median Salary and Annual Sales. OB. The scatterplot indicates there is a negative, weak, linear relationship between Median Salary and Annual Sales. OC. The scatterplot indicates there is a positive, strong, linear relationship between Median Salary and Annual Sales. OD. The scatterplot indicates there is a positive, weak, linear relationship between Median Salary and Annual Sales. OE. The scatterplot indicates there is no relationship between Median Salary and Annual Sales.
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 follow and copy the solution given in the example for the answer Thanks.
Given are 3 observations for two variables, x and y. 1 3 6 9 10 40 What is the value of the correlation coefficient? Select one: a. -0.83 O b. 0.83 c. -0.93 d. 0.93