Question

The following data represent the observed relationship between class size and amount of discussion during class...

The following data represent the observed relationship between class size and amount of discussion during class meetings in college courses. Calculate the correlation coefficient (Pearson’s r)

Class size

Amount of Discussion

30

55

80

21

24

50

50

32

60

26

Homework Answers

Answer #1

Let X denote the class size and let Y denote the amount of discussion.

The following table gives the data.

Class Size (x) Amount of Discussion (y) x2 y2 x*y
30 55 900 3025 1650
80 21 6400 441 1680
24 50 576 2500 1200

50

32

2500

1024 1600
60 26 3600 676 1560
x = 244 y = 184 x2 = 13976 y2 = 7666 xy = 7690

The Pearson's correlation coefficient is given by

Therefore, the correlation coefficient is -0.95

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
11. The following table shows the class size and the average test score Class Size 15...
11. The following table shows the class size and the average test score Class Size 15 17 18 20 21 24 26 29 Average Test score 85 86 85 82 80 78 75 72 Calculate:                 Coefficient of correlation ( r )                 Coefficient of determination (r2)                 Slope of the regression line                 Intercept of the regression line                 Equation of the regression line                 Predicted value of test score for class size = 22
A researcher measures the relationship between the number of interruptions during a class and time spent...
A researcher measures the relationship between the number of interruptions during a class and time spent "on task" (in minutes). Answer the following questions based on the results provided. Number of Interruptions (10, 4, 7, 4) Time Spent "On Task" (16, 37, 20, 32). A. Comput the Pearson Correlation Coefficient (round to three decimals).
6. Using the class data (see Blackboard file - "Class Survey Data - PSS-10 and GAS")...
6. Using the class data (see Blackboard file - "Class Survey Data - PSS-10 and GAS") calculate the correlation between the GAS – Goal disengagement and the GAS – Goal reengagement scores. Write the results in a statistical statement. 7. Using the class data calculate the correlation between the GAS – Goal disengagement and the PSS-10 scores. Write the results in a statistical statement. 8. Using the class data calculate the correlation between the GAS – Goal reengagement scores and...
In an area of the Great Plains, records were kept on the relationship between the rainfall...
In an area of the Great Plains, records were kept on the relationship between the rainfall (in inches) and the yield of wheat (bushels per acre). Rainfall 13 11 16 15 21 13 10 18 19 Yield 55 49 60 63 85 60 36 80 83 Construct a scatter diagram for the data Calculate the correlation coefficient Determine the association
A retail outlet observed that fewer customers came into the store during days that the temperature...
A retail outlet observed that fewer customers came into the store during days that the temperature outside was cold. To determine a relationship that might exist between temperature and customers, she gathered the following data. She felt that if she knew this relationship, she could determine the sales staff needed based on the weather. Average daily outside temperature Number of customers that day 5 10 7 15 6 17 12 19 25 30 32 30 45 36 50 45 65...
15. Engineers for a car manufacturer wanted to analyze the relationship between the speed x of...
15. Engineers for a car manufacturer wanted to analyze the relationship between the speed x of their new model (The Bullet) and its gas mileage y for regular unleaded gasoline. The car was test driven at different speeds in the laboratory, and the data below were collected Speed x ||| 30 40 50 60 70 80 90 Mpg y ||| 39 38 36 32 27 24 22 i. Present a scatter plot for the data ii. Determine the correlation coefficient...
The data collection is conducted by randomly selecting 51 persons whose ages are between 25-30 and...
The data collection is conducted by randomly selecting 51 persons whose ages are between 25-30 and interviewing the average time they spend on Instagram in a day. What is the probability that people ages between 25-30 spend time using Instagram for more than one hour in a day? I need a PMF equation The collected data: Number of Person Time Number of Person Time Number of Person Time Number of Person Time 1 120 14 90 26 120 39 70...
Simple regression analysis The following data were collected to study the relationship between the sale price,...
Simple regression analysis The following data were collected to study the relationship between the sale price, y and the total appraised value, x, of a residential property located in an upscale neighborhood. Property x y x2 y2 xy 1 2 2 4 4 4 2 3 5 9 25 15 3 4 7 16 49 28 4 5 10 25 100 50 5 6 11 36 121 66 Draw a scatter diagram of the sale price and the total appraised...
Data Set Height Weight Age Shoe Size Waist Size Pocket Change 64 180 39 7 36...
Data Set Height Weight Age Shoe Size Waist Size Pocket Change 64 180 39 7 36 18 66 140 31 9 30 125 69 130 31 9 25 151 63 125 36 7 25 11 68 155 24 8 31 151 62 129 42 6 32 214 63 173 30 8 34 138 60 102 26 6 25 67 66 180 33 8 30 285 66 130 31 9 30 50 63 125 32 8 26 32 68 145 33...
Complete the following problems: Hours 37 29 14 42 34 7 24 21 34 44 29...
Complete the following problems: Hours 37 29 14 42 34 7 24 21 34 44 29 34 26 33 17 21 28 15 33 38 Grade 82 80 42 96 87 30 76 71 92 97 98 57 87 97 48 60 68 70 79 99 An experiment was done to determine if the amount of study hours affect the grade earned by all students in a Business class. Using the above data from the population, find the following: Median,...