The data shown to the right for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. y 100 40 70 11 15 a. Construct a scatter plot for these data. Based on the scatter plot, how would you describe the relationship between the two variables? b. Compute the correlation coefficient. 12 13 15 60 50 10 90 14 70 10 80 a. Which graph below shows a scatter plot for these data? O A. OB. Oc. OD. Ay 15- Ay 120- Ay 120- 15- 10- 0- 10 10- 120 0- 10 120 There appears to be linear relationship between x and y. b. What is the correlation coefficient? (Round to two decimal places as needed.) r=

The data shown to the right for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. y 100 40 70 11 15 a. Construct a scatter plot for these data. Based on the scatter plot, how would you describe the relationship between the two variables? b. Compute the correlation coefficient. 12 13 15 60 50 10 90 14 70 10 80 a. Which graph below shows a scatter plot for these data? O A. OB. Oc. OD. Ay 15- Ay 120- Ay 120- 15- 10- 0- 10 10- 120 0- 10 120 There appears to be linear relationship between x and y. b. What is the correlation coefficient? (Round to two decimal places as needed.) r=

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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6f
Given the following data, do the tasks stated below. a) Identify the independent variable and the dependent variable. b) Construct a scatter plot. c) Determine the direction of the straight line that the data points seem to follow. d) Determine the strength of the correlation between the two variables.
Identify the type of correlation in the following scatter plot. e Skip step McCully, Aliyah 9. 24AMCCully21C
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?
The asking prices (in Rands) and the actual selling prices (in Rands), after bargaining, of 8commodities are given below.Commodity A B C D E F G HAsking price, x 150 350 400 750 100 650 600 250Selling price, y 120 200 400 550 80 450 350 200Find the correlation coefficient for the above data.A. 0.8224B. 0.3722C. 0.9438D. 0.5318
Listed below are the data for a local television station. This shows the number of weekly advertisements and the projected weekly sales resulting (adjusted by industry). Weekly Radio Spots Sales ($100s) 4 75 10 85 2 62 6 81 8 81 2 57 10 95 6 72 8 89 4 69 a. Show the data in a scatterplot, to demonstrate the relationship between the two variables. b. Compute and interpret the correlation coefficient.
Use the data to the right to complete parts (a) through (d) below. Percentage Who Won't Try Don't Approve of Sushi Marriage Equality Generation Millennials y 32 39 Gen X Boomers Silent/Greatest Generation 54 52 61 55 69 66 a. Determine the correlation coefficient between the percentage of people who won't try sushi and the percentage who do not approve of marriage equality. (Do not round until the final answer. Then round to two decimal places as needed.) b. What explanations can you offer for the correlation coefficient in part (a)? Choose the correct answer below. O A. Unwillingness to try sushi and disapproval of marriage equality have a weak positive correlation. O B. Unwillingness to try sushi and disapproval of marriage equality have a strong negative correlation. C. Unwillingness to try sushi and disapproval of marriage equality have no correlation. O D. Unwillingness to try sushi and disapproval of marriage equality have a strong positive correlation. c. Find the equation of…
Use the data values in the table below to calculate the correlation between the variables x and y. Submit the link through Canvas to either a photo of your work on paper or a link to a google sheet. X 3 4 5 6 7 8 9 10 11 y 9.06 8.24 9.02 7.5 9.18 9.96 7.04 6.52 9 Give your answer to three decimal places.
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?
Suppose the correlation between variables x and y isr = – 1. Also suppose that the data contains the points (6, 14) and (2, 18). Finally, suppose that the x-values in the data set are: æ 2 3 5 6 8 Make a scatterplot of this data set. 20+ 19 18 17 16 15 14 13 12 10 8 6 6
The following data gives the number of hours 10 students spent studying and their corresponding grades on their midterm exams, Hours spent studying 0.5 1 1.5 2 2.5 4 4.5 5 5.5 6 Midterm Grades 63 69 75 78 81 84 90 93 96 99 Draw a scatter plot of the given data. Select a location in the chart to plot a point. Points can be moved by dragging or using the arrow keys. Estimate the correlation in words: positive, neagative, no correlation Calculate the correlation coefficient, r. Round your answer to three decimal places. Hours unspervised 0 1 2 4 5 Overall Grades 100 92 88 84 72 Calculate the correlation coefficient, r. Round your answer to three decimal places. Determine whether the given correlation coefficient is staatically significant at the specified level of significance and sample size. r=0.452 ,a=0.005, n=28
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. Suppose a random sample of employees gave the following information. X 12 8 14 32 73 y 50 45 35 28 16 Would you say the correlation is low, moderate, or strong? Positive or negative? If necessary, draw a scatter diagram of the given data. O strong and negative O moderate and positive strong and positive O low and negative