The data shown to the right for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. 12 140 15 170 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. 11 130 13 160 15 180 10 120 14 140 10 150 a. Which graph below shows a scatter plot for these data? O A. O B. Oc. D. Ay 200- Ay 200- Ay 15- Ay 15- 0- 0- 10 10 15 10- 10 200 200

The data shown to the right for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. 12 140 15 170 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. 11 130 13 160 15 180 10 120 14 140 10 150 a. Which graph below shows a scatter plot for these data? O A. O B. Oc. D. Ay 200- Ay 200- Ay 15- Ay 15- 0- 0- 10 10 15 10- 10 200 200

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

Match each scatterplot shown below with ane of the four specified correlations. a. 0.91 b. -0.97 C. -0.09 ++++++ d. 0.24 20 Check X పొరాం
2. Graph the following points, and draw in the line of best fit. Comment on the fit of this line, and state if the correlation is positive or negative. 3 Y 1 2 2 3 4 4 8 5 9 6 13 W 7 17
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.
Match each scatterplot shown below with one of the four specified correlations. a. -0.80 b. -0.25 c. 0.42 d. 0.84 Lo 8 of o
3. Examine the figure below and answer the following question. Variable A Figure 2.1 illustrates a correlation between variables A and B. O moderate positive O moderate negative O perfect positive O perfect negative Variable B ••••
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
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Ticket Price Attendence 6 170 10 151 14 171 18 160 22 172 26 179 30 130 Но: р %3D 0 Ha: p = 0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is O Less than (or equal to) a O Greater than a
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