Question

In: Statistics and Probability

15.9 For a sample of 8 employees, a personnel director has collected the following data on...

15.9 For a sample of 8 employees, a personnel director has collected the following data on ownership of company stock versus years with the firm.

x = 5 Years

    6
   12
   14
    6
    9
   13
   15
    9

y = 5 Shares

    300
    408
    560
    252
    288
    650
    630
    522
  1. Determine the least-squares regression line and interpret its slope.

  2. For an employee who has been with the firm 10 years, what is the predicted number of shares of stock owned?

For the data in Exercise 15.9, find the standard error of estimate, then construct the 95% prediction interval for the amount of stock owned by an individual employee who has been with the firm for 5 years.


Please construct the

1. The 95% confidence interval for x=10 for the average number of shares own for all the employees have 10 years of service with firm. 4 points

2. The 95% prediction interval for one employee who has 10 years service with the firm.4 points

Solutions

Expert Solution

Predicted number of shares of stock owned = 431.872

1.

95% Confidence Interval
lower upper
351.817 511.927

2.

95% Prediction Interval
lower upper
194.146 669.598
x y
6 300
12 408
14 560
6 252
9 288
13 650
15 630
9 522
0.720
r   0.849
Std. Error   91.479
n   8
k   1
Dep. Var. y
ANOVA table
Source SS   df   MS F p-value
Regression 1,29,173.128 1   1,29,173.128 15.44 .0077
Residual 50,210.372 6   8,368.395
Total 1,79,383.500 7  
Regression output confidence interval
variables coefficients std. error    t (df=6) p-value 95% lower 95% upper
Intercept 44.3140
x 38.7558 9.8644 3.929 .0077 14.6184 62.8932
Predicted values for: y
95% Confidence Interval 95% Prediction Interval
x Predicted lower upper lower upper Leverage
10 431.872 351.817 511.927 194.146 669.598 0.128

Related Solutions

For a sample of 8 employees, a personnel director has collected the following data on ownership...
For a sample of 8 employees, a personnel director has collected the following data on ownership of company stock versus years with the firm. x = 5 Years 6 12 14 6 9 13 15 9 y = 5 Shares 300 408 560 252 288 650 630 522 a. Regression eq: y=43.801+38.81X, where x=the number of years with the firm b. The standard error of estimate Sy,x=91.48. 1. The 95% confidence interval for x=10 for the average number of shares...
For a sample of 8 employees, a personnel director has collected the following data on ownership...
For a sample of 8 employees, a personnel director has collected the following data on ownership of company stock versus years with the firm. x = 5 Years 6 12 14 6 9 13 15 9 y = 5 Shares 300 408 560 252 288 650 630 522 Determine the least-squares regression line and interpret its slope. For an employee who has been with the firm 10 years, what is the predicted number of shares of stock owned? Please show...
The personnel director for a small manufacturing company has collected the data found in the table...
The personnel director for a small manufacturing company has collected the data found in the table 1 describing the salary (Y) earned by each machinist in the factory along with the average performance rating (X1) over the past 3 years, the years of service (X2), and the number of different machines each employee is certified to operate (X3). The personnel director wants to build a regression model to estimate the average salary an employee should expect to receive based on...
The Company collected a sample of the salaries of its employees. There are 70 salary data...
The Company collected a sample of the salaries of its employees. There are 70 salary data points summarized in the frequency distribution below: Salary Number of Employees 5,001–10,000 8 10,001–15,000 12 15,001–20,000 20 20,001–25,000 17 25,001–30,000 13 Find the standard deviation. Find the variance.
a)The sales director has suggested using Big Data collected from market research and consumer activity on...
a)The sales director has suggested using Big Data collected from market research and consumer activity on social media. Critically evaluate the use of Big Data for sales forecasting b) Critically evaluate the usefulness of learning curve theory in the setting of selling prices. c) Critically evaluate the usefulness of management accounting techniques for decision making when future conditions are uncertain
Suppose the researcher has collected data from a sample of 150 individuals for this study. For...
Suppose the researcher has collected data from a sample of 150 individuals for this study. For each individual, the weekly take-home pay and weekly food expenditure were recorded. The data is stored in the file FOODEXP.XLS. Using this data set and EXCEL, answer the questions below. Take-home pay   Weekly food expenditure 262   82 369   182 374   144 381   161 378   210 395   126 401   196 410   212 408   130 415   151 418   145 415   171 425   156 116   114 120  ...
The Director of Sales purposefully collected data on two variables. These variables are simply identified as...
The Director of Sales purposefully collected data on two variables. These variables are simply identified as Y and X. Data on these two variables are summarized in the table presented below. Variable Y        Variable X 24 28 25 20 26 22 29 33 24 18 26 30 24 29 19 28 24 19 24 20 21 24 25 14 The Director approaches the Research Division for a validation of the speculative argument that ρ = 0, in the association...
Consider the following data collected from four independent populations: Sample 1 Sample 2 Sample 3 Sample...
Consider the following data collected from four independent populations: Sample 1 Sample 2 Sample 3 Sample 4 3 14 21 8 8 9 15 3 6 13 16 13 5 14 a. Calculate the total sum of squares (SST). b. Partition the total sum of squares (SST) into its two components. c. Using a= 0.001, what conclusions can be made about the population means?
The following data represent the salaries (in thousands of dollars) of a sample of 13 employees...
The following data represent the salaries (in thousands of dollars) of a sample of 13 employees of a firm: 26.5, 23.5, 29.7, 24.8, 21.1, 24.3, 20.4, 22.7, 27.2, 23.7, 24.1, 24.8, and 28.2. Calculate the interquartile range. What does this tell you about the data? Show your work. Describe the shape of distribution of salaries of employees of the firm based on the values of the quartiles. Give a possible reason for the shape of this data set, in terms...
The following data represent the time (in minutes) recorded for a sample of 20 employees in...
The following data represent the time (in minutes) recorded for a sample of 20 employees in order to get to work using public transportation. 12   37   24   5   9   42   46   39   54   34 22   50   58   30   27   118   61   47   18   15 (A) Does the sample contain any extreme values? Justify your answer with a suitable test. Comment on the results ... The sample Contains Extreme Values IQR = , Lower Limit = , Upper Limit = ,...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT