Q-20)
we know if we have fat food our calories will be increase. that means fat and calories are direct relationship. and its have near to perfect positive relationship. perfect positive relationship means r values is 1 or almost m=one.
fat and calories are near to perfect positive relationship.
so its values should be poistive and near to 1.
ie.,from options we can say it value will be 0.944
Option-C
20. Using fat content to predict calories, compute the linear correlation coefficient, r, between them. (A)...
Some popular fast-food items were compared for calories and fat, and the results are shown below: Calories (x) 270 420 210 450 130 310 290 450 446 640 233 Fat (y) 9 20 10 22 6 25 7 20 20 38 11 a) Do a scatterplot of the above data, using calories as x and fat as y. b) Calculate the correlation coefficient for the data, using your calculator functions. c) Determine whether there is a linear relationship between x...
Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. Round to three decimal places X y 2 1.3 3 1.6 5 2.1 5 2.2 6 2.7 Click the icon to view the critical values table, A 0.983, a linear relation exists OB. r=0.883; a linear relation exists O C 0.883; no linear relation exists O D . r=0.983; no linear relation exists
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 variable. The linear correlation coefficient is r _______
pts Compute the linear correlation coefficient between the two variables and determine whether a linear relationship exists. х 1 8 -1 18 5 2 y 13 1 3 10 4 8 11 6 3 0 15 2 Or=-0.995; linear relation exists O r=-0.885; no linear relation exists O r=-0.995; no linear relationship exists O r=-0.885; linear relation exists Question 30 4 pts The table lists the drinking habits of a group of college students. If a student is chosen at...
Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r=0.694 What is the value of the coefficient of determination? r2=______ (Round to four decimal places as needed.) What is the percentage of the total variation that can be explained by the linear relationship between the two variables? Explained variation=______% (Round to two decimal places as...
Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r 0.301 What is the value of the coefficient of determination? -(Round to four decimal places as needed.)
Testing for a Linear Correlation. In Exercises 13-28, construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r from Table A-5 using a0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-3 exercises.) 15. Blood Pressure Measurements Listed below are systolic blood pressure measurements (in mm Hg) obtained...
1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient 3. give an explanation of the type nof relationship that exists between the two variables. The explanation should be a short paragraph. In this paragraph inclue the following: *say whether the is a strong positiv elinear correlation, weak positive linear correlation, strong ngative linear correlation, weak negative correlation, or no linear correlation between the two variables. *explain how you can see this from the...
17. Explain how you found the linear correlation
coefficient.
Find the value of the linear correlation coefficient r. Points: 5 17) The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Hours 5 10 4 6 10 9 Score 64 86 69 86 59 87 D) 0.224 C) 0.678 B) -0.678 A) -0.224 Explain how you found the linear correlation coefficient.
If the correlation between variables x and y is r = .50, then the coefficient of determination is a. .50. b. 0. c. 1.00. d. .25.