In bivariate data, we sometimes notice that one of the quantities increases (1, 2, 3...) while the other quantity decreases (20, 19, 18...). Which phrase best describes this association?  would it be no correlation, a perfect correlation,a positive correlation or a negative correlation?

A student noticed that when she gets less than 8 hours of sleep at night, she scores lower on her test grades. Can one conclude that this positive correlation shows a causal relationship? OYes, because it is well known that less sleep lowers test scores OYes, because it is not a negative correlation O No, because all students get less than 8 hours of sleep at night No, because it is possible that the student gets lower test grades because of another factor, such as not studying

An exercise scientist wants to know if there is a relationship between explosive leg power and standing jump height.  To determine if a relationship exists, a group of 30 participants' (N = 30) Leg power was measured  by recording each participants' single squat weight max (in pounds). Next, each participant was asked to perform a standing jump and their Jump height was recorded (in meters). Using the variables “Leg power” and “Jump height”, conduct a Pearson's Correlation, at α = 0.05, to determine if leg power and jump height are correlated.   Identify the correct null hypothesis   A. H0: There is no relationship between leg power and jump height B. H0: There is a relationship between leg power and jump height C. HA: There is a relationship between leg power and jump height D. HA: There is no relationship between leg power and jump height

2. A researcher measures the relationship between temperature and freeway traffic, with a correlation of -0.61. We would say this relationship is: Negative and Moderate Negative and Strong Positive and Moderate Positive and Weak O o o O

An exercise scientist wants to know if there is a relationship between explosive leg power and standing jump height.  To determine if a relationship exists, a group of 30 participants' (N = 30) Leg power was measured  by recording each participants' single squat weight max (in pounds). Next, each participant was asked to perform a standing jump and their Jump height was recorded (in meters). Using the variables “Leg power” and “Jump height”, conduct a Pearson's Correlation, at α = 0.05, to determine if leg power and jump height are correlated. What does this type of correlation indicate about how leg strength and jump height change together?    A. Both leg strength and jump height increase and decrease together B. There is no relationship between leg strength and jump height C. As leg strength increases, jump height decreases D. As jump height increases, leg strength decreases

e. Compute the covariance and correlation coefficient r between the right tire pressure. f. How do you know the relationship between pressure in the left and right tires is positive. g. What value would a correlation coefficient (r) be close to if there was no (linear) relationship between the 2 tire pressures?

Explain Graphically by drawing hypothetical disgrams when the coefficient of correlation between two variables is (a) perfect positive, (b) perfect Negative, (c) zero?

As temperature decreases, rates of crime also seem to decrease. Which of the following Pearsons R values represents the strongest possible correlation between these two variables?"     -0.5     -1     0.5     1

Can you please check my work

An exercise scientist wants to know if there is a relationship between explosive leg power and standing jump height.  To determine if a relationship exists, a group of 30 participants' (N = 30) Leg power was measured  by recording each participants' single squat weight max (in pounds). Next, each participant was asked to perform a standing jump and their Jump height was recorded (in meters). Using the variables “Leg power” and “Jump height”, conduct a Pearson's Correlation, at α = 0.05, to determine if leg power and jump height are correlated   Interpret r. What type of correlation exists between leg strength and jump height?   A. A negative correlation B. No correlation C. A positive correlation D. We cannot know based on the available information