Your model should first be built in order to answer all of the following research questions. Make certain you have acceptable diagnostics and/or you have made an acceptable transformation. Can you help me with transforming the data? I think I need to transform X after looking at residuals, but im not sure or how to. If this could be done in Minitab that would be best or just an explanation please
Salary | Experience | Location | Exp*Loc |
30.95 | 10 | 0 | 0 |
29.22771 | 8 | 0 | 0 |
24.63187 | 6 | 0 | 0 |
23.97167 | 4 | 0 | 0 |
24.07303 | 6 | 0 | 0 |
29.8492 | 10 | 0 | 0 |
29.58699 | 11 | 0 | 0 |
20.36082 | 3 | 0 | 0 |
66.56994 | 15 | 1 | 15 |
73.03498 | 16 | 1 | 16 |
65.5 | 12 | 1 | 12 |
39.65 | 3 | 1 | 3 |
43.43299 | 5 | 1 | 5 |
30.6017 | 2 | 1 | 2 |
24.0629 | 1 | 1 | 1 |
36.44486 | 3 | 1 | 3 |
41.75 | 6 | 1 | 6 |
49.86652 | 9 | 1 | 9 |
46.55308 | 8 | 1 | 8 |
41.0261 | 7 | 1 | 7 |
Sol:
The following data set (columns C1 thru C4 of exam2.mtw) attempts to model the annual salary...
The following data set (columns C1 thru C4 of exam2.mtw)
attempts to model the annual salary (in thousands of dollars) of a
random sample of n=20 high school mathematics teachers using years
of teaching experience and geographic location (0= South, and
1=North). The data set is given below. The same data set and
Minitab output is provided exam2.mtw.
Your model should first be built in order to answer all of the
following research questions. Make certain you have...
Suppose the following data were collected from a sample of 15
CEOs relating annual salary to years of experience and the economic
sector their company belongs to. Use statistical software to find
the following regression equation:
SALARYi=b0+b1EXPERIENCEi+b2SERVICEi+b3INDUSTRIALi+ei .
Is there enough evidence to support the claim that on average,
CEOs in the industrial sector have lower salaries than CEOs in the
financial sector at the 0.05 level of significance?
If yes, write the regression equation in the spaces provided
with...
A group of high-technology companies agreed to share employee salary information in an effort to establish salary ranges for technical positions in research and development. Data obtained for each employee included current salary (Salary), an indicator variable indicating highest academic degree obtained (Degree - O for an employee with a master degree and Degree - 1 for an employee with a Ph.D. degree), and years of experience since last degree (Years). The data are provided in an Excel file "Final...
A group of high-technology companies agreed to share employee salary information in an effort to establish salary ranges for technical positions in research and development. Data obtained for each employee included current salary (Salary), an indicator variable indicating highest academic degree obtained (Degree - O for an employee with a master degree and Degree - 1 for an employee with a Ph.D. degree), and years of experience since last degree (Years). The data are provided in an Excel file "Final...
Consider the FLAG data set. The first 10 observations are given for informational purposes. CONTRACT COST DOTEST STATUS 1 1379.43 1386.29 1 2 134.03 85.71 1 3 202.33 248.89 0 4 397.12 467.49 0 5 158.54 117.72 1 6 1128.11 1008.91 1 7 400.33 472.98 1 8 581.64 785.39 0 9 353.96 370.02 0 10 138.71 174.25 0 Use Minitab to fit a model that predicts COST based on DOTEST. Paste your output here: Calculate a confidence and prediction interval...
Obs
Salary
Avg Perf.
Years
Jobs
1
48.20
3.50
9
6
2
55.30
5.30
20
6
3
53.70
5.10
18
7
4
61.80
5.80
33
7
5
56.40
4.20
31
8
6
52.50
6.00
13
6
7
54.00
6.80
25
6
8
55.70
5.50
30
4
9
45.10
3.10
5
6
10
67.90
7.20
47
8
11
53.20
4.50
25
5
12
46.80
4.90
11
6
13
58.30
8.00
23
8
14
59.10
6.50
35
7
15
57.80
6.60
39...
3. Suppose we face a pattern recognition problem, where the data consist of a single set of pixels X (where there are 16 possible pixel patterns), and there are two possible patterns 0, “O” and “6”. The model is that X has the probability function p(x | 0) depending on 0, given by the following table. Find the best test for “0” versus “6” for which the chance of making the error of “6” when the pattern is “O” is...
Which of the following frequency tables shows a skewed data set? Select all that apply: Value Frequency 5 2 6 5 7 3 8 15 9 11 10 24 11 14 12 12 13 10 14 4 Value Frequency 13 2 14 5 15 14 16 13 17 23 18 26 19 15 20 2 Value Frequency 5 1 6 1 7 9 8 20 9 24 10 20 11 6 12 11 13 5 14 2 15 1 Value...
3. Description of each X and data for 27 franchise stores are given below The data (X1, X2, X3, X4, X5, X6) are for each franchise store. X1 annual net sales/$1000 X2 number sq. ft/1000 X3 - inventory I$1000 X4- amount spent on advertising /$1000 X5 size of sales district/1000 families X6 number of competing stores in distric X1 X2 X3 X4 X5 X6 231 3 294 8.2 8.2 11 156 2.2 232 6.9 4.1 12 10 0.5 149 3...
C1-T C2 c3 c4 C7 CB SEX AGE cs Св FOOT LE... SHOE PR... SHOE SIZE HEIGHT 27.8 31.3 11.0 180.3 25.7 29.7 9.0 175.3 1 M 67 2 M 47 3 M 41 26.7 31.3 11.0 184.8 4 M 42 25.9 10,0 177.8 31.8 314 5 M 48 26.4 10.0 182.3 6 M 34 29.2 13.0 185.4 31.9 31.8 7 M 26 26.8 11.0 180.3 8 M 29 28.1 175.3 31.0 29.7 10.5 9.5 9 M 60 25.4 177.8...