1.If the correlation coefficient is 0.8, the percentage of variation in the response variable explained

by the variation in the explanatory variable is

Select the correct response:

a. 0.64%

b. 64%

c. 0.80%

2.If there exist a negative strong correlation between variables X and Y, then we can conclude that

Select the correct response:

a. The increase in X causes Y to Increase.

b. As the value of X increases the value of Y decreases.

c. The increase in X causes Y to decrease

3.If the coefficient of determination is 0.81, the correlation coefficient is

Select the correct response:

a. + 0.9 or - 0.9

b. -0.651

c. 90%

4.The study "Determinants of Board Exam Results in Engineering" specifically aims to determine the linear relationship of Board Exam Score (BScore) and Entrance Exam Score in College (EScore). A correlation and regression analyses were used in the study and obtained the following results:

Correlation analysis:

r = 0.924

Simple Linear Regression:

a = 25.17b = 0.677

Which of the following best describe the slope of the regression line.

Select the correct response:

a. The slope of the regression line suggests that a 1 unit increase in the EScore there is 0.667 unit increase in BScore.

b. The slope of the regression line suggests that a 1 unit increase in the BScore there is 0.667 unit increase in EScore.

c. The slope of the regression line suggests that a 1 unit increase in the BScore there is 25.17 unit increase in EScore.

5.In regression, the equation that describes how the response variable (y) is related to the

explanatory variable (x) is:

Select the correct response:

a. the regression model

b. used to compute the correlation coefficient

c. the correlation model