Question: Question 8 (4 points) Suppose you calculated a correlation coefficient that is conventionally interpreted to the 2 variables having a strong linear relationship. That is

 Question 8 (4 points) Suppose you calculated a correlation coefficient thatis conventionally interpreted to the 2 variables having a strong linear relationship.That is enough for you to conclude that one variable causes the

Question 8 (4 points) Suppose you calculated a correlation coefficient that is conventionally interpreted to the 2 variables having a strong linear relationship. That is enough for you to conclude that one variable causes the other to occur (or vice versa). Question 7 (4 points) In 2015, about 68.3% of American children were able to get a combined 7-vaccine series by the age of 24 months. 1 vaccine against diphtheria/tetanus/pertussis, polio, measles/mumps/rubella, Hepa-B, Hib, Chickenpox, PCV [Source: Centers for Disease Control and Prevention. FastStats - IMMUNIZATION. (2021, March 01). Retrieved from https://www.cdc.govchs/fastats/immunize.htm] If you take a random sample of 100 American children, what is the probability that the proportion of children who go the vaccine bundle by age 24 months is 75% or above? A) 75% O B) 7.49% O O C) 0.0749% ( D) 25% O (E) 92.51%The mean arterial pressure (or MAP, average arterial pressure in one cardiac cycle) is a measure for perfusion status. You are interested to know if it is possible to predict an adult's MAP (Y) based on the body surface area (X). Suppose you randomly selected 50 adults, and measured their mean arterial blood pressure (in mmHg) & body surface area (in m2). The results are reflected below: i: 1.6 sx=0.5 y=80.1 sy= 16.9 r=0.8 [Source Nall', R. (2018, April 10). Mean arterial pressure: Normal, low, high readings plus treatment. Retrieved from https://www health/ine.com/health/mean-arterial-pressure] Using the figures above, which is NOT true about the regression equation? 0 A) If x is equal to 1.0 then the predicted Ywill be 80.1 0 B) The RMS of the regression equation is 10.14. 0 C) Since the slope is positive, there is positive association between MAP and body surface. 0 D) In solving for the predicted Y value for a given X value, you must multiply the x value by the slope and then add the intercept value. 0 E) If body surface area = O is put into the regression equation, then the predicted MAP value is equal to the intercept

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