Homework Q2: Find the Spearman rank correlation coefficient (p) for the following data Reaction time Age 12 13 15 25 17 20 18 35 20 45 21 30 22 60 26 95 15
Q: A grocery store manager did a study to look at the relationship between the amount of time (in…
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Q: A grocery store manager did a study to look at the relationship between the amount of time (in…
A: 1) The correlation coefficient can be obtained by excel function as follow: Enter the data into…
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Q: What is the relationship between the number of minutes per day a woman spends talking on the phone…
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A: Hii ! Thanks for posting the question . Since your question has more than 3 subparts , we have…
Q: Consider the relationship between the number of bids an item on eBay received and the item's selling…
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Q: Consider the relationship between the number of bids an item on eBay received and the item's selling…
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Q: I AM RESUBMITTING THIS QUESTION FOR MORE SUBPARTS. I NEED HELP FROM NUMBER 4 DOWN. THANK YOU. A…
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Q: What is the relationship between the number of minutes per day a woman spends talking on the phone…
A: Since you have posted a question with multiple sub-parts, we will solve first three sub- parts for…
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Q: What is the relationship between the number of minutes per day a woman spends talking on the phone…
A: “Since you have posted a question with multiple sub-parts, we will solve the first three sub-parts…
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A: Since you have posted a question with multiple sub-parts, we will solve first three subparts for…
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- Which of the following best describes the Pearson correlation for these data? X Y 2 5 5 1 3 4 4 2Find the sample correlation coefficient for the following data.The following data gives the number of hours 7 students spent studying and their corresponding grades on their midterm exams. 3.5 4 4.5 5.5 6 84 90 93 99 Answer How to enter your answer (opens in new window) Hours Spent Studying 0.5 3 Midterm Grades 69 72 75 Step 1 of 3: Calculate the correlation coefficient, r. Round your answer to six decimal places. Copy Data Tables Keypad Keyboard Shortcuts
- A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation 7 12 9 3 8 10 5 8 10 15 12 7 0 9 13 Sick 4 0 12 2 0 9 3 5 1 0 7 8 3 17 0 Helpful Videos:Finding the EquationLinks to an external site., Interpreting the CorrelationLinks to an external site., Testing for CorrelationLinks to an external site. HintLinks to an external site. Textbook PagesLinks to an external site. A. r = ["", "", "", "", ""] B. r2 = ["", "", "", ""] C. Find the equation of the least squares regression line:�^ = ["", "", "", ""] + ["", "", "", ""] x. D. What does the regression line predict for the number of sick days an employee took if that person took 11 vacation days that year? ["", "", "", ""] (Note that this may not be a reliable prediction. Why?) E. Test the hypothesis that there is a linear correlation between the…A researcher wants to see if the fat content in burgers and their calories are related. Fat (g) Calories What is the correlation coefficient, r ? O210.954 11.055 O 0.922815 19 31 34 35 39 39 43 410 580 590 570 640 680 660 O 0.960633 DELLA random sample of ten professional athletes produced the following data. The first row is the number of endorsements the athlete has and the second row is the amount of money made (in millions of dollars) by the athlete. What is the linear correlation coefficient? Round to three decimal places. Number of Endorsements 0 3 2 1 5 5 4 3 0 4 Profit (in Millions) 2 8 7 3 13 12 9 9 3 10
- AnswerI AM RESUBMITTING THIS QUESTION FOR MORE SUBPARTS. I NEED HELP FROM NUMBER 7 DOWN. THANK YOU. A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 27 22 17 30 17 19 12 23 22 Money 117 72 53 106 66 93 53 83 95 Find the correlation coefficient: r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: ? μ r ρ == 0H1:H1: ? r ρ μ ≠≠ 0 The p-value is: (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically significant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that there is a…Milan.m.m
- What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 8 women are shown in the table below. Time 82 24 64 52 82 12 77 89 Pounds 181 125 156 142 158 103 148 161 Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: ? μ ρ r == 0H1:H1: ? r ρ μ ≠≠ 0 The p-value is: (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the use of the regression line is not appropriate. There is statistically insignificant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone. There…What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 7 women are shown in the table below. Time 47 65 51 50 76 46 60 Pounds 161 179 173 181 202 157 170 a. Find the correlation coefficient: r = 0.85 o Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: H : The p-value is: 0.0154 o (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone. There is statistically insignificant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the use of the regression line is not appropriate. There is statistically significant evidence to…
