Question

QUESTion 6

The association between the variables "golf score" and "golf skill" would be

	a.	POSITIVE
	b.	NEGATIVE
	c.	NEITHER

QUESTION 7

If the correlation coefficient for a lnear regression is 0.987. there is sufficient evidence that a linear relationship exists between the x and y data

	a.	TRUE
	b.	FALSE

QUESTION 8

If the correlation coefficient for a lnear regression is -0.932. there is sufficient evidence that a linear relationship exists between the x and y data

	a.	TRUE
	b.	FALSE

QUESTION 9

A data point that lies statistically far from the regression line is a potential

	a.	response variable
	b.	predictor variable
	c.	extrapolated variable
	d.	outlier

QUESTION 10

1. term 3:
   
   In linear regression, the dependent variable is called the

	a.	response variable
	b.	the predictor variable
	c.	the extrapolted variable
	d.	an outlier

QUESTION 11

If the correlation coefficient for a linear regression is 1.00. there is solid proof that a true cause-effect relationship exists between the x and y data

	a.	TRUE
	b.	FALSE

QUESTION 12

1. term 12:
   
   A linear regression analysis on some data yields a correlation coefficient of 0.003. Which of the following is the most correct statement?

	a.	The x and y variables appear to be mostly unrelated
	b.	The x and y variables appear to have a strong relationship
	c.	The x and y variables appear to have no meaningful linear relationship but may be related by some nonlinear function
	d.	The x and y variables have a strong linear relationship

Answer 1

6.
The association between the variables "golf score" and "golf skill" would be a. POSITIVE
because a increase in golf skill will increase golf score.

7.
If the correlation coefficient for a lnear regression is 0.987, there is very strong positive association as it is close to 1
a. TRUE

8.
If the correlation coefficient for a lnear regression is -0.932, there is very strong negative association as it is close to -1
a. TRUE

9.
A data point that lies statistically far from the regression line is a potential d.outlier

10.
In linear regression, the dependent variable is called the a. response variable

11.
If the correlation coefficient for a linear regression is 1.00, it denotes there is solid proof that a true association relationship exists between the x and y data
Correlation does not imply causation. Thus, it cannot be determined that there is a true cause-effect relationship exists between the x and y data
b. FALSE

12.
A correlation coefficient of 0.003 (close to 0) suggest that there is no linear association between x and y.
c. The x and y variables appear to have no meaningful linear relationship but may be related by some nonlinear function