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Suppose that two variables, x and y, have a correlation coefficient of 0.27. Which of the...
Suppose that two variables, x and y, have a correlation coefficient of 0.27. Which of the following statements are true? You must make a selection for each option. Click once to place a check mark for correct answers and click twice to empty the box for the wrong answers. The variables have a positive linear relationship. There is a weak relationship between these two variables. There is a strong relationship between these two variables As xincreases, y decreases. As x...
A statistics student computes the correlation between two variables in her spreadsheet and finds r =...
A statistics student computes the correlation between two variables in her spreadsheet and finds r = 0.06. She concludes there is no relationship between the variables. Is she correct? no We do not have enough information to answer the question. O yes
The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is...
The following information
regarding a dependent variable (Y in $1000) and an independent
variable (X) is provided.
Y
Dependent Variable
15
17
23
17
I. The least-squares estimate of the slope
equals:
II. The least-squares estimate of the intercept
equals:
III. If the independent variable increases by 2
units, the dependent variable is expected to
a. decrease by $300
b. decrease by $3000
c. decrease by $3
d. decrease by $2
e. none of the above
The letter corresponding...
The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is...
The following information regarding a dependent variable (Y in
$1000) and an independent variable (X) is provided.
Y
Dependent Variable
15
17
23
17
I. The least-squares estimate of the slope
equals:
II. The least-squares estimate of the intercept
equals:
III. If the independent variable increases by 2
units, the dependent variable is expected to
a. decrease by $300
b. decrease by $3000
c. decrease by $3
d. decrease by $2
e. none of the above
The letter corresponding...
Now suppose the correlation coefficient for the relationship between a country’s adolescent birth rate (i.e., the...
Now suppose the correlation coefficient for the relationship between a country’s adolescent birth rate (i.e., the rate at which teenage girls give birth) and life expectancy works out to be −0.71. What can we conclude from the value of that correlation coefficient? I. The association between the adolescent birth rate and life expectancy is strong and positive (as the adolescent birth rate increases, life expectancy increases as well). II. The association between the adolescent birth rate and life expectancy is...
4 a) Suppose Y X.Show in a diagram this function. What will be the correlation coefficient...
4 a) Suppose Y X.Show in a diagram this function. What will be the correlation coefficient between X and Y? b)i) If the covariance between two variables is nogative, the correlation coefficient must be positive. True or False? ) If the covariance between two variables is zero. what does it suggest?
In a simple linear regression study between two variables x ( the independent variable) and y...
In a simple linear regression study between two variables x ( the independent variable) and y (the dependent variable), a random large sample is collected and the coefficient of correlation r = −.98 is calculated. A)Which of the following conclusion may be made? Group of answer choices x and y are almost perfectly correlated, and y increases as x is increased. x and y are almost perfectly correlated, and y decreases as x is increased. x and y are moderately...
1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient...
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...
Determine if the following statement is true or false. A correlation coefficient close to 1 is...
Determine if the following statement is true or false. A correlation coefficient close to 1 is evidence of a cause-and-effect relationship between the two variables. The statement is true O A. False. Only a correlation coefficient close to 0 indicates a cause-and-effect relationship between the two variables O B. False. A correlation coefficient should not be interpreted as a cause-and-effect relationship O c. True, but only if all the conditions for correlation are met. False. A correla.on coefficient of 1...
please explain and help me 3) The scatterplot below shows the number of tackles received and...
please explain and help me
3) The scatterplot below shows the number of tackles received and the number of concussions received for a team of football players for the most recent season. Choose the statement that best describes the trend, Number of concions Number of Tackles A) Teams that receive a greater number of tackles tend to receive a lower number of concussions. B) There is no association between the number of tackles a team receives and the number of...
Suppose that two variables, x and y, have a correlation coefficient of 0.27. Which of the following statements are true? You must make a selection for each option. Click once to place a check mark for correct answers and click twice to empty the box for the wrong answers. The variables have a positive linear relationship. There is a weak relationship between these two variables. There is a strong relationship between these two variables As xincreases, y decreases. As x...
A statistics student computes the correlation between two variables in her spreadsheet and finds r = 0.06. She concludes there is no relationship between the variables. Is she correct? no We do not have enough information to answer the question. O yes
The following information
regarding a dependent variable (Y in $1000) and an independent
variable (X) is provided.
Y
Dependent Variable
15
17
23
17
I. The least-squares estimate of the slope
equals:
II. The least-squares estimate of the intercept
equals:
III. If the independent variable increases by 2
units, the dependent variable is expected to
a. decrease by $300
b. decrease by $3000
c. decrease by $3
d. decrease by $2
e. none of the above
The letter corresponding...
The following information regarding a dependent variable (Y in
$1000) and an independent variable (X) is provided.
Y
Dependent Variable
15
17
23
17
I. The least-squares estimate of the slope
equals:
II. The least-squares estimate of the intercept
equals:
III. If the independent variable increases by 2
units, the dependent variable is expected to
a. decrease by $300
b. decrease by $3000
c. decrease by $3
d. decrease by $2
e. none of the above
The letter corresponding...
4 a) Suppose Y X.Show in a diagram this function. What will be the correlation coefficient between X and Y? b)i) If the covariance between two variables is nogative, the correlation coefficient must be positive. True or False? ) If the covariance between two variables is zero. what does it suggest?
Determine if the following statement is true or false. A correlation coefficient close to 1 is evidence of a cause-and-effect relationship between the two variables. The statement is true O A. False. Only a correlation coefficient close to 0 indicates a cause-and-effect relationship between the two variables O B. False. A correlation coefficient should not be interpreted as a cause-and-effect relationship O c. True, but only if all the conditions for correlation are met. False. A correla.on coefficient of 1...
please explain and help me
3) The scatterplot below shows the number of tackles received and the number of concussions received for a team of football players for the most recent season. Choose the statement that best describes the trend, Number of concions Number of Tackles A) Teams that receive a greater number of tackles tend to receive a lower number of concussions. B) There is no association between the number of tackles a team receives and the number of...
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