Homework Answers
2. Correlation coefficient measures the strength of positive or negative linear relationship between the given variables. It can take any value between -1 and +1.
r = -1 represents the perfect negative linear association, r = 0 represents no linear association and r = 1 represents perfect positive linear association.
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the variables have a negative linear correlation: 2. Describe the range of values for the correlation...
if you have a correlation coefficient of r=-.82 what type of correlation does your data have?...
if
you have a correlation coefficient of r=-.82 what type of
correlation does your data have?
QUESTION 1 If you have a Correlation Coefficient of r = -.82. What type of correlation does your data have? Positive Linear Correlation O Negative Linear Correlation Nonlinear Correlation
A)FIND THE CRITICAL VALUES B)Is there sufficient evidence to conclude that there is a linear correlation...
A)FIND THE CRITICAL VALUES
B)Is there sufficient evidence to conclude that there is a
linear correlation between the two variables?
Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Answer parts a-c. Budget (x) Gross (y) 61 70 95 63 45 47 31 55 195 696 100 142 94 48 Click here to view a table of critical values for the correlation coefficient. a. Find the value of...
is consider a situation where two variables appear to have nearly a linear relationship, meaning that...
is consider a situation where two variables appear to have nearly a linear relationship, meaning that the points in a scatter plot roughly follow a straight-line pattern. If the dependent, or response, variable increases as the independent, or explanatory, variable increases, then the linear pattern would have a: (A) Negative slope (B) Positive slope (C) Zero slope (D) An undefined slope 19. The value of r, the correlation coefficient for a sample, always takes on values between: (A) 0 and...
B) critical values C)Is there sufficient evidence to conclude that there is a linear correlation between...
B) critical values
C)Is there sufficient evidence to conclude that there is a
linear correlation between the two variables?
The data below shows the high temperatures and the times (in minutes) runners who won a marathon. Answer parts a-c. Temperature (x) 56 63 47 64 Time (y) 145.687 144.156 144.086 148.362 70 147.244 75 148.207 51 146.538 60 148.892 Click here to view a table of critical values for the correlation coefficient. a. Find the value of the linear correlation...
B) CRITICAL VALUES C) Is there sufficient evidence to conclude that there is a linear correlation...
B) CRITICAL VALUES
C) Is there sufficient evidence to conclude that there is a
linear correlation between the two variables?
The data below shows the selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold. Answer parts a-c. Selling Price (x) List Price (y) 400 410 303 317 380 385 430 440 455 485 480 477 318 320 354 370 416 431 333 342 Click here to view a table of critical values for the...
1) The correlation coefficient determined for two variables has a value of 0.89. Describe, in words,...
1) The correlation coefficient determined for two variables has a value of 0.89. Describe, in words, the correlation between the two variables. 2) The correlation coefficient determined for two variables has a value of 0.13. Describe, in words, the correlation between the two variables. 3) The correlation coefficient determined for two variables has a value of -0.93. Describe, in words, the correlation between the two variables.
Given the linear correlation coefficient r and the sample size n, determine the critical values of...
Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05. r =-0.816, n =5 A. Critical values: = +/- 0.878, no significant linear correlation B. Critical values: =0.950, significant linear correlation C. Critical values: = +/- 0.878, significant linear correlation D. Critical values: = +/-0.950, no significant linear correlation
Given the linear correlation coefficient r and the sample size n, determine the critical values of...
Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05. r = 0.543, n = 25. SHOW WORK Group of answer choices A)Critical values: r = ± 0.396, significant linear correlation B)Critical values: r = ± 0.487, significant linear correlation C)Critical values: r = ± 0.396, no significant linear correlation...
Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists....
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
Given the linear correlation coefficient r and the sample size n, determine the critical values of...
Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05. r = 0.543, n = 25. A. Critical values: r = plus or minus 0.487, no significant linear correlation B. Critical values: r = plus or minus 0.396, no significant linear correlation C. Critical values: r = plus or minus...
if
you have a correlation coefficient of r=-.82 what type of
correlation does your data have?
QUESTION 1 If you have a Correlation Coefficient of r = -.82. What type of correlation does your data have? Positive Linear Correlation O Negative Linear Correlation Nonlinear Correlation
A)FIND THE CRITICAL VALUES
B)Is there sufficient evidence to conclude that there is a
linear correlation between the two variables?
Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Answer parts a-c. Budget (x) Gross (y) 61 70 95 63 45 47 31 55 195 696 100 142 94 48 Click here to view a table of critical values for the correlation coefficient. a. Find the value of...
is consider a situation where two variables appear to have nearly a linear relationship, meaning that the points in a scatter plot roughly follow a straight-line pattern. If the dependent, or response, variable increases as the independent, or explanatory, variable increases, then the linear pattern would have a: (A) Negative slope (B) Positive slope (C) Zero slope (D) An undefined slope 19. The value of r, the correlation coefficient for a sample, always takes on values between: (A) 0 and...
B) critical values
C)Is there sufficient evidence to conclude that there is a
linear correlation between the two variables?
The data below shows the high temperatures and the times (in minutes) runners who won a marathon. Answer parts a-c. Temperature (x) 56 63 47 64 Time (y) 145.687 144.156 144.086 148.362 70 147.244 75 148.207 51 146.538 60 148.892 Click here to view a table of critical values for the correlation coefficient. a. Find the value of the linear correlation...
B) CRITICAL VALUES
C) Is there sufficient evidence to conclude that there is a
linear correlation between the two variables?
The data below shows the selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold. Answer parts a-c. Selling Price (x) List Price (y) 400 410 303 317 380 385 430 440 455 485 480 477 318 320 354 370 416 431 333 342 Click here to view a table of critical values for the...
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
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