When you solve and get an r value for the correlation coefficient, what information is revealed by this value?

There are some bizarre examples of correlation between non related variables. Find one such example.

People often wonder which has the greater relationship with body weight, daily calories, or daily exercise. While there are certainly many factors that can affect body weight, these are often the two most investigated. A research group performed a correlation analysis. First, they calculated the correlation between body weight and calorie intake. The r-value was found to be .52. Next, the research group calculated the correlation between hours of exercise per week and body weight. The r value was - .57. Which statement is FALSE? The correlation between exercise and body weight is weaker than the relationship between calorie intake and body weight. The correlation between body weight and calorie intake is a strong relationship. The correlation between body weight and exercise is a strong relationship. The correlation between exercise and body weight is stronger than the relationship between calorie intake and body weight.

Christina obtained the following results for about 500 families: Average weight of husband = 170 lbs, SD=10 lbs Average weight of wife=140 lbs, SD=5 lbs • Correlation r=0.4 The scatterplot of the dataset shows the relationship between husbands and wives weights is linear. Of the women who were married to men of weight 200 lbs, their estimated average weight will be (A) 200 (B) 200+0.4* (140-170) (C) 140+ 0.4*10 (200-140) (D) 140+0405 (200-170)