1. the strength of the linear relationship

1.      

If you wanted to analyze the correlation between the NUMBER OF HOURS PRACTICED and the NUMBER OF TARGETS HIT by a sharpshooter, which variable would be the dependent variable?

10 points  

Question 3

1.      

Before proceeding with a simple linear regression, you should first construct a scatter diagram in order that you can remove all outliers from the data.
 

[removed]True

[removed]False

10 points  

Question 4

1.      

What does it mean to have a negative coefficient in the regression model?

10 points  

Question 5

1.      

Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals -0.30,

10 points  

Question 6

1.      

If the hypothesis test for correlation is found to be significant (i.e., we rejected the null hypothesis / accepted the alternate hypothesis), what can we automatically conclude about the strength of the correlation?

10 points  

Question 7

1.      

A negative correlation coefficient implies that as the value of independent variable increases, the value of the dependent variable _________________.
 

10 points  

Question 8

1.      

There is a strong positive correlation between a baby’s weight and the size of his/her vocabulary. From this we can conclude that overeating will improve one’s vocabulary.
 

[removed]True

[removed]False

10 points  

Question 9

1.      

If the correlation coefficient (r) = 1.00, then

10 points  

Question 10

1.      

Assume the regression model for predicting home prices by the square footage were: PRICE = 12510 + 83 (SQRFT) For every additional one square foot, how much does the price increase?