Statistic assignment 2

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anggl

Mathematics

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The questions are structured as multiple answers, multiple choice, fill in the blank(s), true-false, or so-called hot spots, which require you to click on an area of an image to answer a question. Because grading of this assignment is automated, it is important in cases of fill-in-the-blank(s) questions that you spell your answers correctly or it will be scored incorrect. Also, when you have to generate a response to fill a blank, do not include any extra information other than what is exactly called for by the question (for example, if the answer is the number "1110", typing in "1,100" will be scored as incorrect by Blackboard because it includes an unnecessary comma; an unnecessary space("1 100") would similarly be marked incorrect. If we see instances like this we will change them to correct, but we do not always catch these issues nor do students themselves, so best to avoid them altogether!

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A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 9 4 6 0 4 2 8 7 What is the covariance? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 0 4 6 3 6 0 5 8 What is the standard deviation of the predictor variable? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 8 4 7 4 4 1 9 4 What is the standard deviation of the criterion variable? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 2 3 8 8 2 5 6 1 What is the Pearson's r value? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 5 8 0 4 3 2 2 5 What is the numeric value of the slope (b)? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 4 8 7 6 1 8 6 6 What is the numeric value of the y-intercept (a)? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 8 5 5 1 4 5 3 4 Set up the regression equation and use to predict the risk of heart attack for a person with a stress score of 1. The risk of heart attack predicted for a person with a stress score of 1 is? Grade in Psy 1110 is used to predict nurses' salaries and the regression equation turns out to be ŷ = 4(X) + 34,789 If a nurse gets a score of 80, his/her predicted salary would be $______? (Fill in the blank with the numbers only from solving the regression equation. Do not add $ or commas to your answer.) Grade (in terms of the percentage of correct responses) in Psy 1110 is used to predict nurses' salaries and the regression equation turns out to be ŷ = 8(X) + 361 If a nurse's predicted salary is eighty-nine thousand (for puposes of this problem, we're going to get rid of the extra 0's and represent the salary numerically as 890), what would be his or her grade in Psy 1110. (Fill in the blank with the numbers only from solving the regression equation.) A variable that can be used to predict the value of another variable is called predictor variable criterion variable continuous variable discrete variable Which of the following correlations is weakest? -1.00 -.53 +.20 +1.00 Consider the following sets of variables. When is computing correlation appropriate? Weight and height Gender and height Age group (11-20, 21-30, …) and height Name and height The direction of causality Can be determined when two variables have significant linear correlation Can be determined when two variables have significant nonlinear correlation Can be determined when two variables have no correlation Cannot be determined based on correlation alone In a study of how late people are to work, 82% of the variability of the amount of time late could be accounted for by the time spent in traffic jams. What was the correlation coefficient? Critical thinking question! Which of the following is the best characterization of the data pattern (between viewing violent TV programming and subsequent aggressive behavior) depicted in the figure below? (Each dot represents a child's level on each of the variables, with higher values indicating more aggression and more exposure to viewing violence.) positive correlation negative correlation no correlation insufficient variability to properly assess correlation Let us say, hypothetically, that you found a significant positive correlation between Exposure to TV Violence and Aggressive Behavior. Which of the following might explain this relationship? Select any and all options that are correct. Greater exposure to TV violence leads to less aggressive behavior Greater exposure to TV violence leads to more aggressive behavior Exposure to TV violence and aggressive behavior are unrelated More aggressive behavior leads to greater exposure to TV violence A third unknown variable is causing both aggressive behavior and exposure to TV violence to similarly rise and fall.
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Hi again! :) Here you have it! I can do kind of a summary for you (for exampl...


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