When comparing the body length of a spider (X-axis) and the length of its legs (Y-axis),...
When comparing the body length of a spider (X-axis) and the length of its legs (Y-axis), it was determined that the correlation coefficient (r) between the two variables was 0.85. This indicates: Question 15 options: An increase in body length tends to be associated with an increase in leg length. An increase in body length tends to be associated with a decrease in leg length. An decrease in body length tends to be associated with an increase in leg length. There is only a weak relationship between the two variables.
Homework Answers
Correlation coefficient serves as a statistical measure of the relation between two variable. A positive value of correlation coefficient indicates that the two variables tend to a follow a direct proportionality. In the given case, the correlation coefficient has a positive value (0.85) which suggests that an increase in the body length tends to be associated with an increase in leg length.
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When comparing the body length of a spider (X-axis) and the
length of its legs (Y-axis),...
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...
correlation measures the degree to which two variables are related to one another. Here are the...
correlation measures the degree to which two variables are related to one another. Here are the definitions of the three possibilities: Positive correlations: In this type of correlation, both variables increase or decrease at the same time. A correlation coefficient close to +1.00 indicates a strong positive correlation. Negative correlations: This type of correlation indicates that as the amount of one variable increases, the other decreases (and vice versa). A correlation coefficient close to -1.00 indicates a strong negative correlation....
If a researcher obtained an r of -0.85, what could you say about this correlation? -...
If a researcher obtained an r of -0.85, what could you say about this correlation? - This is a strong negative correlation. O This is a strong positive correlation. O This is a weak negative correlation. O This is a weak positive correlation. Question 4 1 pts If a researcher wanted to see if cumulative GPA predicts GRE scores, which of the two variables would be the predictor variable? The number of participants None of the other answers O GRE...
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...
Question 1 1 pts The equation of the regression line between two variables x (independent variable)...
Question 1 1 pts The equation of the regression line between two variables x (independent variable) and y (dependent variable) is given by ý = -3x -- 2; and the correlation coefficient iss =-.95. The possible x- values range from 1 to 10. Based on the given r, which of the following conclusions may be made? X and Y are very weakly correlated. and y are moderately correlated, and y tends to increase as x is increased. X and y...
A linear regression model of unemployment rate in a specific area and the sales for a...
A linear regression model of unemployment rate in a specific area and the sales for a certain product determined that the correlation coefficient was -0.843. Which one of the following statements is true? a. As the unemployment rate declines, sales decline b. None of the answers provided c. As the unemployment rate increases, the sales decrease d. As sales increase, the unemployment rate increases e. The relationship between the two variables is weak
The β 1 term indicates a. the Y value for a given value of X. b....
The β 1 term indicates a. the Y value for a given value of X. b. the average change in Y for a unit change in X. c. the Y value when X equals zero. d. the change in observed X for a given change in Y. What does regression analysis attempt to establish? a. linearity in the relationship between independent variables b. a mathematical relationship between a dependent variable, for which future values will be forecast, and one or...
1. When no linear relationship exists between variable X and variable Y, r equals which of...
1. When no linear relationship exists between variable X and variable Y, r equals which of the following? a) −∞-∞ b) -1 c) 0 d) +1 e) +∞+∞ 2. Pearson’s r correlation measures the relationship between which of the following? a) Two continuous variables b) Two categorical variables c) One continuous and one categorical variable
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...
If a researcher obtained an r of -0.85, what could you say about this correlation? - This is a strong negative correlation. O This is a strong positive correlation. O This is a weak negative correlation. O This is a weak positive correlation. Question 4 1 pts If a researcher wanted to see if cumulative GPA predicts GRE scores, which of the two variables would be the predictor variable? The number of participants None of the other answers O GRE...
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...
Question 1 1 pts The equation of the regression line between two variables x (independent variable) and y (dependent variable) is given by ý = -3x -- 2; and the correlation coefficient iss =-.95. The possible x- values range from 1 to 10. Based on the given r, which of the following conclusions may be made? X and Y are very weakly correlated. and y are moderately correlated, and y tends to increase as x is increased. X and y...
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