4 Find rank correlation co-efficient for the following data and give your comments 84 Marks in Statistics (x): 56 89 58 59 67 74 78 38 69 56 58 63 78 87 77 Marks in Law (v): CS Scanned with CamScanner
Q: Calculate the correlation coefficient r. Make a conclusion about the type of correlation.
A: Correlation coefficient measures the strength and direction of the linear relationship between two…
Q: Match the correlation coefficients with their scatterplots. Select the letter of the scatterplot…
A: Correlation: If the smaller values of x are related with the smaller values of y, and the larger…
Q: (b) Compute the correlation coefficient between the price of eggs and the price of milk. Round the…
A: Define the variable dozen eggs as x and the variable gallon of milk as y.
Q: The distance (in kilometers) and price (in dollars) for one-way airline tickets from San Francisco…
A: Correlation coefficient measures the strength and direction of the linear relationship between two…
Q: tate, whether the variables described, have a positive correlation, a negative correlation, or no…
A: the variables are described Income and SAT scoresLength of a person's hair and how far they sit from…
Q: Create a scatter plot by hand of the above data set.
A: Answer: Scatter plot is
Q: The accompanying data represent the speed at which a ball was hit (in miles per hour) and the…
A: The scatter plot is a graph used to plot numerical values. It is used to plot two numerical…
Q: A Statistics professor wants to determine how students’ final grades are related to the midterm exam…
A: Given data: Final Grade (y) Midterm Grade (x1) Classes Missed (x2) 81 75 1 90 80 0 86 91 2…
Q: Identify the true statements about the correlation coefficient, ?. A correlation coefficient of…
A: The symbol r stands for the correlation coefficient for samples, whereas the Greek letter rho stands…
Q: Hours Spent Studying 0.5 1 2.5 4 5 5.5 6 Midterm Grades 63 69 78 81 84 90 99 Step 1, Calculate…
A: We have given that The number of students spent studying n=7 Let X represent the number of Hours…
Q: The table for part (a) shows distances between selected cities and the cost of a business class…
A:
Q: Explain what is the error in the following statement. Choose the answer that best describes you.…
A:
Q: Make a scatterplot and find the correlation coefficient. Do you think all five specimens come from…
A: Given that, Dependent variable (y) = Femur Independent variable (x) = Humorous Sample size = n1 = n2…
Q: The following data gives the number of hours 10 students spent studying and their corresponding…
A: Given,
Q: Choose the best correlation coefficient to describe each plot. Of the six correlation coefficients…
A:
Q: Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40…
A:
Q: Correlations are fairly frequent in statistics. Consider your field of interest and explain three…
A:
Q: You wish to determine if there is a linear correlation between the age of a driver and the number of…
A: The given table represents the age of a driver and the number of driver deaths per 100000. Driver…
Q: The following data gives the number of hours 1010 students spent studying and their corresponding…
A: The data set shows the grades of the students and number of hours spent studying on their midterm…
Q: (b) Compute the correlation coefficient between the price of eggs and the price of milk. Round the…
A: X Y X \cdot YX⋅Y X^2X2 Y^2Y2 1.96 3.47 6.8012 3.8416 12.0409 1.80 3.43 6.174 3.24 11.7649…
Q: The data below are the number of absences and the final grades Number of absences, x 2 5 8 6 11 4 17…
A: Given data is x y 2 90 5 78 8 72 6 74 11 63 4 84 17 47 10 68 7 74
Q: Iranslate The data below is 13 observations of Math SAT scores (x) and scores on Math placement test…
A:
Q: Provide an appropriate response Given the length of a Human’s femur, x, and the length of a human’s…
A: Positive correlation When there is an increase in one variable then other variable also increase.…
Q: What is the best estimate of the correlation for the data displayed below? b)what is the form,…
A: The correlation coefficient will lie between 0.6 - 0.8
Q: The data shown below consists of the price (in dollars) of 7 events at a local venue and the number…
A: It is given that the ticket prices and attendance of 9 events. The claim is to check whether there…
Q: The data below are the ages and systolic blood pressures (measured in millimeters of mercury) of 9…
A: The objective of the question is to predict the systolic blood pressure (y) for an adult of age 60…
Q: 50 30 20 8 10 12 14 16 O 0.68 O -0.87 O -0.15 0.63 0.98
A:
Q: ou wish to determine if there is a linear correlation between the age of a driver and the number of…
A: Use EXCEL to obtain the value correlation coefficient r: EXCEL procedure: Go to EXCEL Go to…
Q: The ages (in years) of 10 men and their systolic blood pressures (in millimeters of mercury) are…
A: The independent variable is Age. The dependent variable is systolic blood pressure. We have to find…
Q: Given that the linear correlation coefficient r is found to be 0.867, what is the proportion of the…
A: Here Given linear correlation coefficient =r =0.867
Q: You might expect the correlation between the horsepower of new cars and their gas mileages in miles…
A: Given, The statement is the correlation between the horsepower of new cars and their gas mileages in…
Q: The data table shows the ages in years of 10 men with systolic blood pressure. The Age,x: 18, 26,…
A:
Q: se the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the…
A: A scatter plot is a graphical representation of two variables to investigate if there exists an…
Q: The following data gives the number of hours 10 students spent studying and their corresponding…
A: From the given information, x y X^2 Y^2 XY 0 63 0 3969 0 0.5 66 0.25 4356 33 1.5 69 2.25…
Q: A strong positive correlation means: the points in a scatter diagram lie on a downward sloping line…
A:
Q: ice of eggs and milk: The following table presents the average price in dollars for a dozen eggs and…
A: Dozen eggs (X) :-1.77, 1.94, 1.96, 1.89, 1.96, 1.83, 1.80, 2.01 Gallon of milk (Y):-3.43, 3.52,…
Q: The data below are the ages and systolic blood pressures (measured in millimeters of mercury) of 9…
A: The objective of the question is to predict the systolic blood pressure (y) for an adult of age 60…
Q: Vhich correlation coefficient indicates that you have the strongest connection between the variables…
A: Correlation coefficient:-The correlation coefficient is bound between -1 and 1 and tells you the…
Q: The ages of the runners in a race and their finishing positions are given in the following table.…
A:
Step by step
Solved in 2 steps with 2 images
- Click this Video for Finding Correlation Coefficient by Using Formula. Yessica thought that there was a correlation between the amount of time students slept the evening before their final exam and their final exam grade. She took an SRS of 5 students in her class and recorded the sleep time the evening before their final exam, and their final exam score. Let the sleep time the evening before the final exam represents the explanatory variable, and the final exam score be the response variable. Below is a sample data set. x (hour) 8 9 3 9 1 2 3 4 5 Calculate the sample correlation coefficient (r) to three decimal places. r= 9 Why would we expect the correlation coefficient to be positive? As the sleep time increases, exam score increases As the sleep time increases, exam score decreases As the sleep time decreases, exam score increases There is no change in exam score to sleep time C E y (score) 91 94 51 100 90 C A2. State whether the variables described have a positive correlation, a negative correlation, or no correlation. (a) Income and SAT scores (b) Length of a person's hair and how far they sit from the screen in a movie theater. (c) Hours of exercise per week and blood pressure.A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 8 children, measures their height and head circumference, and obtains the data shown in the table. The pediatrician wants to use height to predict head circumference. Compute the linear correlation coefficient between the height and head circumference of a child. Height Head Circumference (inches) (inches) 27.5 25 (Round to three decimal places as needed.) 17.3 17.1 26 25.25 27.25 26.75 25.75 27 25 17.2 17 17.6 17.4 17.2 17.3 Enter your answer in the answer box and then click Check Answer. All parts showing Clear All Check Answer Type here to search TOUG Panasonic CF-54 CDSS-4852 TERMO TOGA O O O O D () Scre Loc PrtSc Num Lock F10 F11 F12 F7 F8 F9 SysRq F5 F6 F3 F4 A 8 F1 F2 Esc & 7 0 8 B 90 5 A2 24 近 %#3
- Use Spearman rho formula to determine if there is a correlation between the English and Math score of 10 students English 86 76 46 71 82 64 58 80 75 61 Math 66 80 40 60 65 56 58 77 67 81 Ho: Ha: Calculated Value: Tabulated Value: Decision: Conclusion:A food truck owner recorded the temperature at noon, in degrees Fahrenheit, and the number of bowls of soup sold during the lunch hour for a random sample of 5 days. The data are shown in the following table. Temperature (degrees Fahrenheit) 57 75 43 68 67 Number sold 17 12 20 8 13 The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the correlation between the temperature and the number sold? A -0.85 B -0.68 0.68 D 0.73 E 0.85Based on the data shown below, calculate the correlation coefficient (to three decimal places) X y 87 82.8 7 87.8 8 88.6 9. 86.6 10 91.8 11 91.8 12 88.4 Question Help: DVideo MMessage instructor Submit Question 目 Chp -> Co & 5 7 60 96 4
- Right arm 102 101 94 79 79 Left arm 175 169 182 146 144 If the sample data were to result in the scatterplot shown here, what is the value of the linear correlation coefficient r?Here is a scatterplot. Give an estimate for the correlation coefficient r and explain how you made your choice.The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant negative linear correlation between ticket price and number of attendees. Use a significance level of 0.05 and round all values to 4 decimal places. Ticket Price Attendence 6. 109 10 114 14 139 18 142 22 139 26 132 30 154 Но: = 0 На: р Find the Linear Correlation Coefficient r = Find the p-value p-value = %3D The p-value is Less than (or equal to) a Greater than a The p-value leads to a decision to Reject Ho Аcсept Ho Do Not Reject Ho The conclusion is There is a significant linear correlation between ticket price and attendance. There is a significant negative linear correlation between ticket price and attendance. There is a significant positive linear correlation between ticket price and attendance. There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance.
- A manager wishes to determine the relationship between the number of years the manager's sales representatives have been with the company and their average monthly sales (in thousands of dollars). Calculate the linear correlation coefficient.Years with company, x: 6,7,14,11,12,19,7,5,15Sales, y: 21,23,68,52,55,51,38,45,110Stan measured the circumference of his classmates' heads and compared it with their current grade in Math. The results are in the given table. Head (cm) Grade 55 23 53 92 57 84 56 88 55 97 53 87 54 72 57 64 57 91 Is there a strong correlation in this data set? How do you know? Yes, there is a strong correlation because the slope is 126.5. No, there is NOT a strong correlation because the correlation coefficient is -0.89, which is close to -1.Based on the scatter plot below on data from Central Harlem, would you estimate the correlation coefficient to be positive, negative, or close to 0? Select the correct correlation and corresponding explanation. Household Income vs. Serious Crime Rate (per 1,000 residents) CentralHarlem Data Scatter Plot: 22- 21- 20- 19- 18- 17 16- 15 32 34 36 38 40 42 Household_Income (thousands) Positive; As the household income increases, the serious crime rate decreases. A. Negative; As the household income increases, the serious crime rate decreases. B. Positive; As the household income increases, the serious crime rate also increases. OC. Negative; As the household income increases, the serious crime rate also increases. D. Close to 0; There is no linear correlation between household income and serious crime rate. E. A Moving to another question will save this response. Question 24 of 25 MacBook Air Serious crime_rate