A. the x-variable

B. the independent variable

C. the predictor variable

D. the explanatory variable

A. must have a positive slope

B. must have a negative slope

C. could have either a positive or a negative slope

D. must have a positive y intercept

A. there is evidence that x causes a change in y

B. there is evidence that y causes a change in x

C. there might not be any causal relationship between x and y

D. None of these alternatives is correct.

A. must also be equal to 1.

B. can be either -1 or +1.

C. can be any value between -1 to +1

D. must be -1

A. must also be in kilograms

B. must be in some unit of weight

C. cannot be in kilograms

D. can be any units

A. Coefficient of Correlation

B. Coefficient of Determination

C. Standard error of estimate

D. All of the above

A. Coefficient of Correlation

B. Coefficient of Skewness

C. Coefficient of Determination

D. Standard error

A. The relationship between two variables is weak

B. The relationship between two variables is strong and positive

C. The relationship between two variables is strong and but negative

D. Correlation coefficient cannot have this value

A. The relationship between two variables is negative

B. The correlation coefficient is 0.39 also

C. 39% of the total variation is explained by the independent variable

D. 39% of the total variation is explained by the dependent variable

A. both are unrelated

B. The coefficient of determination is the coefficient of correlation squared

C. The coefficient of determination is the square root of the coefficient of correlation

D. both are equal