Question

In: Statistics and Probability

2. Consider the following data on salaries and experience. Persons 2,4,6,8,and 9 have MBA degrees. All...

2. Consider the following data on salaries and experience. Persons 2,4,6,8,and 9 have MBA degrees. All others only have undergraduate degrees.

  1. Calculate the regression of Salary on Experience within a model that controls for whether a person has an MBA or not.

b. Print the data set that allows you to do this regression. Sketch the graph the estimated regression that clearly indicates the impact of a MBA degree on Salary.

c. What is the market value of the MBA degree?

Person           Salary              Experience

1                   $130,468            10 Years

2                       62,250              1

3                       50,000              2.3

4                     140,000              9

5                     110,000              8

6                      80,050              2.8

7                      95,772              7

8                     110,000              6

9                       87,752              4.2

10                     79,290              5

Solutions

Expert Solution

here,92.34% of the variation in salary


Related Solutions

Review the four stages of the conflict process. Do all persons involved in conflicts experience all...
Review the four stages of the conflict process. Do all persons involved in conflicts experience all four stages of conflict? Why or why not? How does the conflict process affect the quality of the conflict resolution?
Review the four stages of the conflict process. DO all persons involved in conflicts experience all...
Review the four stages of the conflict process. DO all persons involved in conflicts experience all four stages of conflict? Why or why not? How does the conflict process affect the quality of the conflict resolution?
If you take this sample and break into 2 samples, one for graduate degrees (MBA and...
If you take this sample and break into 2 samples, one for graduate degrees (MBA and MSE) and one for undergraduate degrees (BA and BSE), would you believe the populations have different GPAs? 3.56 MBA 3.51 BA 3.75 MBA 2.85 BA 3.2 MBA 2.94 BA 3.2 MBA 3.25 BA 3.87 MSE 2.65 BSE 3.2 MSE 3.47 BSE                                               3.46 Mean (Grad)                   3.11 Mean (Undergrad)                               0.28 std dev.                0.32 std dev. What test would you perform? Z-test of...
3. Consider the following data: Years of Experience Salary (in $1000) 3 28 5 42 2...
3. Consider the following data: Years of Experience Salary (in $1000) 3 28 5 42 2 12 7 44 8 49 (a) Draw a scatter plot where x-axis represents years of experience and y-axis represents salary. You may draw it by hand or using Excel. (b) Obtain the least square estimates αˆ and βˆ. How do you interpret βˆ? (c) Obtain SST, SSE and SSR. Using them, calculate the coeffi- cient of determination.
Here is some data looking at people's salaries, their years of experience, and their average evaluation....
Here is some data looking at people's salaries, their years of experience, and their average evaluation. Please cut and paste it into excel and run the following regression: Salary = b0 + b1*Experience + b2*Eval Salary Years of experience Average evaluation $ 56,744.30 5 6.85 $ 49,875.12 0 2.92 $ 64,629.44 6 1.69 $ 53,148.67 2 1.89 $ 56,130.69 8 4.93 $ 57,246.71 4 5.87 $ 51,097.09 0 5.09 $ 50,303.00 0 6.42 $ 56,212.37 2 4.2 True/false. The eval...
Description Here is some data looking at people's salaries, their years of experience, and their average...
Description Here is some data looking at people's salaries, their years of experience, and their average evaluation. Please cut and paste it into excel and run the following regression: Salary = b0 + b1*Experience + b2*Eval Salary Years of experience Average evaluation $ 56,744.30 5 6.85 $ 49,875.12 0 2.92 $ 64,629.44 6 1.69 $ 53,148.67 2 1.89 $ 56,130.69 8 4.93 $ 57,246.71 4 5.87 $ 51,097.09 0 5.09 $ 50,303.00 0 6.42 $ 56,212.37 2 4.2 Instructions Question...
Consider the data. xi 2 6 9 13 20 yi 9 19 9 26 25 (a)...
Consider the data. xi 2 6 9 13 20 yi 9 19 9 26 25 (a) What is the value of the standard error of the estimate? (Round your answer to three decimal places.) (b) Test for a significant relationship by using the t test. Use α = 0.05. State the null and alternative hypotheses. H0: β0 ≠ 0 Ha: β0 = 0H0: β1 = 0 Ha: β1 ≠ 0    H0: β0 = 0 Ha: β0 ≠ 0H0: β1 ≠ 0...
Please answer the following questions: Consider the IMU unit which has 9 degrees of freedom. What...
Please answer the following questions: Consider the IMU unit which has 9 degrees of freedom. What data type is required to store the accelerometer, gyroscope and magnetometer samples i.e. byte, int or long? What is the rate of data generation if the IMU unit is sampled at 100Hz? Determine if the baud rate of 9600 with 8 bits, no parity and 1 stop bit is sufficient for transmitting the data at the same generation rate. Thank you :)
9..Consider the following data for a one-factor economy. All portfolios are well diversified. Portfolio                 E(r)        &n
9..Consider the following data for a one-factor economy. All portfolios are well diversified. Portfolio                 E(r)              Beta A                           12%               1.2 F                             6%                0.0 Suppose that another protfolio E is well diversified with a beta of 0.6 and expected return of 7%. Construct an arbitrage strategy by investing $1 in the long position and $1 in the short position. What is the profit for the arbitrage strategy? Your answer should be in dollars and accurate to the hundredth.
1. The following table shows the salaries of five managers and their years of work experience...
1. The following table shows the salaries of five managers and their years of work experience in managerial positions. Years of Salary Experience ($1000s) 6 120 5 95 4 88 10 150 5 97 a. Use the method of Ordinary Least Square (OLS) to compute the slope and intercept of sample regression line. You need to decide which one is the dependent variable. In addition, write down the estimated sample regression line. b. Explain the meaning of each estimated coefficient...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT