1. Which correlation indicates a strong positive straight-line relationship?a. 0.4 b. -0.75 c. 1.5 d. 0.0 e. 0.992. The correlation between two variables is of -0.8. We can conclude thata. an increase in one variable causes a decrease in the other variable.b. there is a strong, positive association between the two variables.c. there is a strong, negative association between the two variables.d. a decrease in one variable causes an increase in the other variable.e. there are no outliers.3. A study of grade school children finds that the correlation between hours of television watched per week during a school year and reading scores is r = -0.63. This tells us thata. an arithmetic error was made because the correlation must be greater than 0.b. children who watch more television tend to get higher reading scores.c. children who watch more television tend to get lower reading scores.d. there is almost no connection between television viewing and reading scores.4. Which of the statements does not contain a statistical blunder?a. there is a strong negative correlation between a person's sex and the amount that he or she pays for automobile insurance.b. the mean height of young women is 64 inches, and the correlation between their heights and weights is 0.6 inches.c. the correlation between height and weight for adult females is about r = 1.2.d. all three prior statements contain blunders.Expert Answer ANSWERS: 1. Which correlation indicates a strong positive straight-line relationship? ANS.) e.) 0.99 2. The