x | 7 | 10 | 8 | 4 | 3 |
y | 8 | 11 | 9 | 5 | 4 |
a. |
Calculate the covariance between the variables. (Negative value should be indicated by a minus sign. Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) |
b-1. |
Calculate the correlation coefficient. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) |
b-2. | Interpret the correlation coefficient. |
There is _____ no, a weak negative, a weak positive, a strong negative, a perfect positive, a strong positive relationship between x and y. |
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The National Sporting Goods Association (NSGA) conducted a survey of the ages of individuals that purchased skateboarding footwear. The ages of this survey are summarized in the following relative frequency distribution. Assume the survey was based on a sample of 200 individuals. |
Age of User | Percent |
Under 14 years old | 23 |
14 to 17 years old | 40 |
18 to 24 years old | 18 |
25 to 34 years old | 7 |
35 to 44 years old | 7 |
45 to 64 years old | 5 |
Calculate the mean and the standard deviation of the age of individuals that purchased skateboarding shoes. Use 10 as the midpoint of the first class. (Do not round intermediate calculations. Round your answers to 2 decimal places.) |
Mean | |
Variance | |
Standard deviation | |
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A manager of a local retail store analyzes the relationship between advertising and sales by reviewing the store’s data for the previous six months. |
Advertising (in $100s) | Sales (in $1,000s) |
205 | 129 |
56 | 44 |
55 | 43 |
54 | 42 |
169 | 139 |
203 | 127 |
a. |
Calculate the mean of advertising and the mean of sales. (Round your answers to 2 decimal places.) |
Mean | |
Advertising | |
Sales | |
b. |
Calculate the standard deviation of advertising and the standard deviation of sales. (Round your answers to 2 decimal places.) |
Standard Deviation | |
Advertising | |
Sales | |
c-1. | Calculate the covariance between advertising and sales. (Round your answer to 2 decimal places.) |
c-2. |
Interpret the covariance between advertising and sales. |
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d-1. |
Calculate the correlation coefficient between advertising and sales. (Round your answer to 2 decimal places.) |
d-2. |
Interpret the correlation coefficient between advertising and sales. |
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Consider the following sample data: x 11 7 5 5 4 y 3 10 13 6 11 Click here for the Excel Data File a. Calculate the covariance between the variables. (Negative value should be indicated by a minus sign. Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) Covariance b. Calculate the correlation coefficient. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) Correlation coefficient
Consider the following sample data: x 8 10 7 5 2 y 11 2 7 4 8 Click here for the Excel Data File a. Calculate the covariance between the variables. (Negative value should be indicated by a minus sign. Round your intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) b. Calculate the correlation coefficient. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.)
The National Sporting Goods Association (NSGA) conducted a survey of the ages of individuals that purchased skateboarding footwear. The ages of this survey are summarized in the following relative frequency distribution. Assume the survey was based on a sample of 200 individuals. Age of User Percent Under 14 years old 23 14 to 17 years old 40 18 to 24 years old 18 25 to 34 years old 7 35 to 44 years old 7 45 to...
4.he sample correlation coefficient between X and Y, rxy Sx/Sx S where S-the covariance between X and Ys Σ(X-XM) (-Yu)/ n-1 Sx the standard deviation of X and Sy the standard deviation of Y I) If the covariance is positive, the correlation coefficient must be positive: True or False? ii) If the covariance is negative, the correlation coefficient must be positive: True or False? a) ii) The correlation coefficient must lie between 0 and 1. True or False? v)lf the...
Consider the following sample data: x 13 3 5 15 6 y 389 206 97 35 6 b-1. Calculate the sample covariance. (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) Sample covariance b-2. Interpret the sample covariance. The covariance indicates that x and y have a positive linear relationship. The covariance indicates that x and y have a negative linear relationship. The covariance indicates that x and y have no linear relationship....
Consider a sample with 10 observations of 11, –3, 8, 8, 10, 1, –2, 13, 8, and –4. Use z-scores to determine if there are any outliers in the data; assume a bell-shaped distribution. (Round your answers to 2 decimal places. Negative values should be indicated by a minus sign.) The z-score for the smallest observation The z-score for the largest observation There are outliers or no outliers in the data. The historical returns on a portfolio had...
Consider a sample with 10 observations of 11, –3, 8, 8, 10, 1, –2, 13, 8, and –4. Use z-scores to determine if there are any outliers in the data; assume a bell-shaped distribution. (Round your answers to 2 decimal places. Negative values should be indicated by a minus sign.) The z-score for the smallest observation The z-score for the largest observation There are outliers or no outliers in the data. The historical returns on a portfolio had...
For the following data (a) display the data in a scatter plot, (b) calculate the correlation coefficient r, and (c) make a conclusion about the type of correlation. The ages (in years) of 6 children and the number of words in their vocabulary Age, x 1. 2 3 4 5 6 Vocabulary size, y 500 450 1350 1750 2300 2300 (a) Choose the correct scatter plot below. A. B. c. D. 2350+.. 7 2350- 2350- Vocabulary Age Vocabulary Vocabulary ....
Matching.. 1 correlation 2.covariance 3. deviation 4.mean 5. median 6. mode 7. range 8. residual 9. sample size 10. standard deviation 11. standard error 12. Variance a. the difference between an observed value and the ,ean of the set of valies is a quantifies the direction and stregnth of a linear relationship between two quantitive variables is the average of the squared deviations of a dataset c. the d.of the three measures of central tendency, the___is affected the most by...
10. The average price of a gallon of gasoline, and the average cost of a barrel of oil, are shown for a five-week period several years ago: Gasoline ($) Oil ($) 2.089 37.55 2.199 46.20 2.989 77.15 3.009 73.78 3.029 85.78 Calculate the correlation coefficient to four decimal places, and state whether it indicates a strong positive, strong negative, weak positive, weak negative, or no correlation.