Unit 8 Assignment Started: Oct 29 at 9:28pm Quiz Instructions Please note: you will not need to use STATA for this assignment. There are a few questions in this assignment that require a signicant amount of work and are repeated in the homework. The questions that are the same all have the same answers. Please choose one response for each question. There are 30 questions, and there is no time limit. There are no retakes. You will be able to see the correct answers, but these will only be available until the nal. Question 1 1 pts When we speak of the correlation coecient, which is the one we're generally talking about? b&c c. Spearman's Rho a. Pearson correlation coecient a&b b. Pearson product moment correlation coecient Question 2 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 The goal is to calculate the correlation coecient for these data. First, what's the mean of x? Between 11.6 and 12.5 Between 10.5 and 11.5 More than 13.5 Less than 10.5 Between 12.6 and 13.5 Question 3 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 The goal is to calculate the correlation coecient for these data. What's the mean of y? Between 180.1 and 200.0 Less than 160.0 Between 160.0 and 180.0 More than 220.0 Between 200.1 and 220.0 Question 4 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 The goal is to calculate the correlation coecient for these data. What's ? Between 10,401 and 10,600 Between 10,201 and 10,400 More than 10,600 Between 10,100 and 10,200 Less than 10,000 Question 5 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 The goal is to calculate the correlation coecient for these data. What's ? More than 800 Between 500 and 600 Between 701 and 800 Between 601 and 700 Less than 500 Question 6 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 The goal is to calculate the correlation coecient for these data. What's Less than 20,000 More than 20,600 ? Between 20,201 and 20,400 Between 20,401 and 20,600 Between 20,100 and 20,200 Question 7 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 What is the correlation coecient for these data? Less than -1 More than -0.70 Between -0.89 and -0.80 Between -0.99 and -0.90 Between -0.79 and -0.70 Question 8 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 What is the correlation coecient for these data? More than -.70 Between -.79 and -.70 between -.99 and -.90 Less than -1 Between -.89 and -.80 Question 9 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 What is the correlation coecient for these data? Between -.89 and -.80 Between -.99 and -.90 More than -.70 Less than -1 Between -.79 and -.70 Question 10 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 What is the correlation coecient for these data? Between -.89 and-.80 Less than -1 Between -.79 and -.70 Between -.99 and -.90 More than -.70 Question 11 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 Calculate t for the correlation coecient. Between 3.6 and 4.5 Less than 2.5 More than 5.5 Between 2.5 and 3.5 Between 4.6 and 5.5 Question 12 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 Calculate t for the correlation coecient. Less than 2.5 Between 2.5 and 3.5 Between 4.6 and 5.5 Between 3.6 and 4.5 More than 5.5 Question 13 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 How many degrees of freedom should be used to calculate the p-value for the hypothesis that r=0? 3 2 4 5 1 Question 14 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 Given the t-score and degree of freedom you just calculated, what is p-value given a two-tail test? More than 0.0055 Between 0.0046 and 0.0055 Between 0.0025 and 0.0035 Between 0.0036 and 0.0045 Less than 0.0025 Question 15 1 pts Does exercise produce weight loss? Five employees at the Krispy Kreme in Orem try to nd out. They count how many hours they each work out over a six month period, then weigh themselves: Workout hours per week (x) Weight (y) 0 240 10 210 10 220 15 185 20 161 If the two-tailed t-test p-value for the signicance test on the correlation coecient r is .008, which of the following statement is true? The correlation between workout hours and weight is statistically signicantly no dierent from zero at the 5% signicance level. The correlation between workout hours and weight is statistically signicantly smaller than zero at the 5% signicance level. The correlation between workout hours and weight is statistically signicantly larger than zero at the 5% signicance level. The correlation between workout hours and weight is statistically signicantly dierent from zero at the 5% signicance level. Question 16 1 pts A psychologist is attempting to construct a scale to measure what makes high school students \"cool.\" The scale is composed of three variables, each measured on a scale from one to ten. The variables are: (1) stylish dresser, (2) \"don't care\" attitude, and (3) smooth talker. Here are the three correlation coecients measuring all possible correlations between these variables: .83, .75, .76. Calculate Cronbach's Alpha for these variables. Less than 0.65 Between 0.86 and 0.95 Between 0.65 and 0.75 Between 0.76 and 0.85 More than 0.95 Question 17 1 pts A psychologist is attempting to construct a scale to measure what makes high school students \"cool.\" The scale is composed of three variables, each measured on a scale from one to ten. The variables are: (1) stylish dresser, (2) \"don't care\" attitude, and (3) smooth talker. Here are the three correlation coecients measuring all possible correlations between these variables: .83, .75, .76. If Cronbach's Alpha for these variables is computed as 0.91, which of the following statements is true? None of the above statements is true. It is not acceptable to combine these three variables to form a \"coolness\" measure for high school students. It is marginally acceptable to combine these three variables to form a \"coolness\" measure for high school students. It is acceptable to combine these three variables to form a \"coolness\" measure for high school students. Question 18 Does the scatter plot appear linear? Strong or weak? Positive or negative? The data appear to be linear with a weak, negative correlation. The data appear to be linear with a strong, negative correlation. The data appear to have no correlation. The data appear to be linear with a strong, positive correlation. The data appear to be linear with a weak, positive correlation. 1 pts Question 19 1 pts Does the scatter plot appear linear? Strong or weak? Positive or negative? The data appear to be linear with a weak, positive correlation. The data appear to be linear with a strong, positive correlation. The data appear to be linear with a weak, negative correlation. The data appear to be linear with a strong, negative correlation. The data appear to have no correlation. Question 20 Does the scatter plot appear linear? Strong or weak? Positive or negative? The data appear to be linear with a strong, positive correlation. The data appear to be linear with a weak, positive correlation. The data appear to be linear with a weak, negative correlation. The data appear to be linear with a strong, negative correlation. 1 pts The data appear to have no correlation. Question 21 1 pts It is commonly believed that age is related to Internet usage among college students. Here are data from a sample of six college students: Age (x) Internet usage hours/week (y) 18 20 18 19 19 17 20 16 20 15 21 8 The goal is to perform the bivariate regression of age on Internet usage hours per week. Ultimately you'll have to compute the values for a and b in this equation: y = 0 + 1x + . In this case, internet usage is called the _________. b. independent variable d. error term e. both c and d are correct a. dependent variable c. residual Question 22 1 pts It is commonly believed that age is related to Internet usage among college students. Here are data from a sample of six college students: Age (x) Internet usage hours/week (y) 18 20 18 19 19 17 20 16 20 15 21 8 The goal is to perform the bivariate regression of age on Internet usage hours per week. Ultimately you'll have to compute the values for a and b in this equation: y = 0 + 1x + . In this case, age is called the _________. b. independent variable a. dependent variable d. error term c. residual e. both c and d are correct Question 23 1 pts It is commonly believed that age is related to Internet usage among college students. Here are data from a sample of six college students: Age (x) Internet usage hours/week (y) 18 20 18 19 19 17 20 16 20 15 21 8 The goal is to perform the bivariate regression of age on Internet usage hours per week. Ultimately you'll have to compute the values for a and b in this equation: y = 0 + 1x + . In this kind of regression equation setting, is called ________. b. independent variable d. error term a. dependent variable e. both c and d are correct c. residual Question 24 1 pts It is commonly believed that age is related to Internet usage among college students. Here are data from a sample of six college students: Age (x) Internet usage hours/week (y) 18 20 18 19 19 17 20 16 20 15 21 8 The goal is to perform the bivariate regression of age on Internet usage hours per week. Ultimately you'll have to compute the values for a and b in this equation: y = 0 + 1x + . What is the value of 1? Between -1.99 and -1.00 More than -1.00 Less than -4.00 Between -4.00 and -3.00 Between -2.99 and -2.00 Question 25 1 pts It is commonly believed that age is related to Internet usage among college students. Here are data from a sample of six college students: Age (x) Internet usage hours/week (y) 18 20 18 19 19 17 20 16 20 15 21 8 The goal is to perform the bivariate regression of age on Internet usage hours per week. Ultimately you'll have to compute the values for a and b in this equation: y = 0 + 1x + . What is the value of 1? Between -2.99 and -2.00 Between -4.00 and -3.00 Less than -4.00 More than -1.00 Between -1.99 and -1.00 Question 26 1 pts It is commonly believed that age is related to Internet usage among college students. Here are data from a sample of six college students: Age (x) Internet usage hours/week (y) 18 20 18 19 19 17 20 16 20 15 21 8 The goal is to perform the bivariate regression of age on Internet usage hours per week. Ultimately you'll have to compute the values for a and b in this equation: y = 0 + 1x + . What is the value of 1? between -2.99 and -2.00 between -4.00 and -3.00 between -1.99 and -1.00 more than -1.00 less than -4.00 Question 27 1 pts It is commonly believed that age is related to Internet usage among college students. Here are data from a sample of six college students: Age (x) Internet usage hours/week (y) 18 20 18 19 19 17 20 16 20 15 21 8 The goal is to perform the bivariate regression of age on Internet usage hours per week. Ultimately you'll have to compute the values for a and b in this equation: y = 0 + 1x + . What is the value of 1? more than -1.00 between -1.99 and -1.00 between -4.00 and -3.00 between -2.99 and -2.00 less than -4.00 Question 28 1 pts It is commonly believed that age is related to Internet usage among college students. Here are data from a sample of six college students: Age (x) Internet usage hours/week (y) 18 20 18 19 19 17 20 16 20 15 21 8 The goal is to perform the bivariate regression of age on Internet usage hours per week. Ultimately you'll have to compute the values for a and b in this equation: y = 0 + 1x + . What is the value of 1? between -1.99 and -1.00 between -2.99 and -2.00 between -4.00 and -3.00 more than -1.00 Less than -4.00 Question 29 1 pts It is commonly believed that age is related to Internet usage among residents of Truth or Consequences, New Mexico. Here is the regression equation for a sample of town residents: y = 24 - 6x + . Which of the following statements is correct? Every year of age increase is associated with six hours less Internet use per week, on average. Age is not associated with Internet use per week, on average. Every year of age increase is associated with either six hours less or six hours more Internet use per week, on average, depending on the actual age of the respondent. Every year of age increase is associated with six hours more Internet use per week, on average. Question 30 1 pts It is commonly believed that age is related to Internet usage among college students. Here are data from a sample of six college students: Age (x) Internet usage hours/week (y) 18 20 18 19 19 17 20 16 20 15 21 8 The goal is to perform the bivariate regression of age on Internet usage hours per week. Ultimately you'll have to compute the values for a and b in this equation: y = 0 + 1x + . What is the value of 0? Between 75 and 85 Less than 65 Between 85 and 95 Between 65 and 75 More than 95 Quiz saved at 9:28pm Submit Quiz