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.

The data in the scatterplot below are an individual's age (in years) and the expected life span (in years). The circles correspond to females and the x's to males. Which of the following conclusions is most accurate? There is a positive correlation between gender and life expectancy. There is a negative correlation between gender and life expectancy. There is a positive correlation between age and life expectancy for both males and females. There is a negative correlation between age and life expectancy for both males and females.

Jacob wants to see if there is a relationship between the speed of a male runner and his age. He collected the age and race time from 27 male runners in a local 200 meter race. His data is depicted in the scatterplot below.Which of the following interpretations does this scatterplot best support?Group of answer choicesThe decreasing exponential trendline is the best choice for this data because older men's running times are exponentially shorter than younger men's times.There is no relationship between men's ages and their running times in the 200 meter race.A linear trendline with a negative slope is the best choice for this data because older men's running times are shorter than younger men's times.The quadratic trendline is the best choice for this data because from Jacob's scatterplot it looks like men around 40 have the slowest running time (the vertex). Men both younger and older than 40 are faster than 40 year olds.A linear trendline with a positive slope is the best choice for this data because older men's running times are longer than younger men's times.

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.

Determine whether a scatter plot of the data for the following might show a positive, negative, or no relationship. Explain your answer.hours worked and earningshair color and height

Which of the following pairs do not suggest a positive correlation?number of workers and time to finish a certain work.family members and pieces of clothes to washsalary income and expendituressalary income and educational attainment