The boys in Mrs. Asamoah JHS 2 class were lined up according to height and were then weighed in this order beginning with the shortest. Each succeeding boy was found to weigh more than the preceding one. These data were plotted on a graph with weight on the horizontal axis and height on the vertical axis. The graph revealed a A. negative correlation B. zero correlation C. positive correlation D. illusory correlation

The data in the scatterplot below are an individual's weight and the time it takes (in seconds) on a treadmill to raise his or her pulse rate to 140 beats per minute. The o's correspond to females and the +'s to males. Which of the following conclusions is most accurate? There is a negative correlation between time and weight for males and for females. There is a positive correlation between gender and weight. There is a positive correlation between time and weight for males and for females. There is a negative correlation between gender and weight.

Recall the 3-variable example from before:1. X1: Intelligence2. X2: Weight3. X3: AgeSuppose that these correlations are actually based on sample size n = 20:ˆρ = 1 0.6162 0.82670.6162 1 0.73210.8267 0.7321 1

Find out the regression equations of 𝑦 on 𝑥, 𝑥 on 𝑦 and correlation coefficientbetween 𝑥 and 𝑦 from the height of fathers and sons. Can we conclude that the heightsof sons and fathers are related/associated?Details Height (inches)1 2 3 4 5 6 7 8 9 10 11 12Father (X) 65 63 67 64 68 62 70 66 68 67 69 71Adult son (Y) 68 66 68 65 69 66 68 65 71 67 68 70

Suppose the correlation coefficient between a baby’s weight and the number of coffee shops in Plumville is 0.87. Which statement must be true?A.As the baby gains weight, the number of coffee shops tends to increase.B.As the baby gains weight, the number of coffee shops tends to decrease.C.The baby’s weight gain causes people to open more coffee shops.D.Having more coffee shops around causes the baby to gain weig

The weights (in pounds) and cholesterol levels (in mg/dL) of several individuals was observed. The data are shown in the scatterplot below:The outlier on the graph is likely due to an error in recording the data. Which of the following statements is true? A reasonable value of the correlation coefficient r for these data is 1.2. If the weight (WT) were measured in kilograms instead of pounds (1 lb = 0.4536 kg) the value of r would change accordingly. If the outlier were removed, the correlation coefficient (r) would increase. If the outlier were removed, the correlation coefficient (r) would decrease.