h. Run a diagnosis to deterime if the model is significant at a = 0.05. (Round test statlstic to 2 decimal places and p-value to 4 decimal places) h1. Select the correct hypothesis statements. Ho: B1= 32 = B 3 = 0 - H1: S 1 82#B 3#0 h2. Test Statistic: 16.26 h3: p-value. 0.0000 h4: What is your decision regarding the null hypothesis? Fail to reject the null. v h5: What does this mean? The model is significant. 1. Run a diagnosis to determine if the slope of the individual varlables are significant at a = 0.05. decimal places) (Round p-values to 4 Varlable p-value 0.00 Significant (Yes, No) No X1 X2 0.85 Yes X3 0.07 Yes J. Looking at the standared error of the regression model, what is the prediction range for salary (in $ thousands)? decimal places) +/-[ (Round to 2 k. Is Multicollinearity a problem? Compute the VIF for each independent variable. (Round VIF to 3 decimal places) Varlable VIF Problem (Yes, No) X1 (Click to select) v X2 (Click to select) v X3 (Click to select) v 1. What conclusions can you draw? Are there any varlables you would take out to make it better? Are there any varlables you think you might want to Include?

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Please answer and assist on questions J, K, L

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h. Run a diagnosis to deterlme if the model is significant at a = 0.05. (Round test statistic to 2 decimal places and p-value to 4
decimal places)
h1. Select the correct hypothesis statements.
Ho: B1= B2 = B 3 = 0 v
H1: B1#B2 #B 3# 0 v
h2. Test Statistic:
16.26
Һз: р-value.
0.0000
h4: What is your decision regarding the null hypothesis?
Fail to reject the null. V
h5: What does this mean?
The model is significant.
1. Run a diagnosis to determine if the slope of the Individual varlables are significant at a = 0.05.
decimal places)
(Round p-values to 4
p-value
Significant (Yes, No)
No
Variable
X1
0.00
Yes
Yes
X2
0.85
X3
0.07
J. Looking at the standared error of the regression model, what is the prediction range for salary (in $ thousands)?
decimal places) +/-
(Round to 2
k. Is Multicollinearity a problem? Compute the VIF for each independent variable.
(Round VIF to 3 decimal places)
Varlable
VIF
Problem (Yes, No)
(Click to select) -
(Click to select) v
X1
X2
X3
(Click to select)
v
I. What conclusions can you draw? Are there any variables you would take out to make it better? Are there any variables you think you
might want to Include?
Transcribed Image Text:h. Run a diagnosis to deterlme if the model is significant at a = 0.05. (Round test statistic to 2 decimal places and p-value to 4 decimal places) h1. Select the correct hypothesis statements. Ho: B1= B2 = B 3 = 0 v H1: B1#B2 #B 3# 0 v h2. Test Statistic: 16.26 Һз: р-value. 0.0000 h4: What is your decision regarding the null hypothesis? Fail to reject the null. V h5: What does this mean? The model is significant. 1. Run a diagnosis to determine if the slope of the Individual varlables are significant at a = 0.05. decimal places) (Round p-values to 4 p-value Significant (Yes, No) No Variable X1 0.00 Yes Yes X2 0.85 X3 0.07 J. Looking at the standared error of the regression model, what is the prediction range for salary (in $ thousands)? decimal places) +/- (Round to 2 k. Is Multicollinearity a problem? Compute the VIF for each independent variable. (Round VIF to 3 decimal places) Varlable VIF Problem (Yes, No) (Click to select) - (Click to select) v X1 X2 X3 (Click to select) v I. What conclusions can you draw? Are there any variables you would take out to make it better? Are there any variables you think you might want to Include?
Mike Jimenez is president of the teachers' union for Preston School District. In preparing for upcoming negotiations, he would like to
investigate the salary structure of classroom teachers in the district. He believes there are three factors that affect a teacher's salary:
years of experience, a rating of teaching effectiveness given by the principal, and whether the teacher has a master's degree (O = No, 1
= Yes). A random sample of 20 teachers resulted in the following data.
Years of
Experience
Principal's
Rating
96
52
75
80
62
Salary ($
Thousands)
Master's
Degree
51.1
8
43.6
39.3
53
48.6
55
52
46.8
58.6
41.7
35.7
40.6
61.8
46.7
2
15
1
11
14
68
1
94
64
54
57
66
63
92
64
88
7
1
22
1
1
1
23
17
12
48.4
43.6
51.8
40.7
14
57
63
1
74
78
70
42.8
42.9
Click here for the Excel Data File. Data file should open in a new browswer window. Select "File" then "Save As" to download the file to
your computer and be able to use it in Excel.
a. What is the question being asked?
b. Label your dependent variable: y =
Transcribed Image Text:Mike Jimenez is president of the teachers' union for Preston School District. In preparing for upcoming negotiations, he would like to investigate the salary structure of classroom teachers in the district. He believes there are three factors that affect a teacher's salary: years of experience, a rating of teaching effectiveness given by the principal, and whether the teacher has a master's degree (O = No, 1 = Yes). A random sample of 20 teachers resulted in the following data. Years of Experience Principal's Rating 96 52 75 80 62 Salary ($ Thousands) Master's Degree 51.1 8 43.6 39.3 53 48.6 55 52 46.8 58.6 41.7 35.7 40.6 61.8 46.7 2 15 1 11 14 68 1 94 64 54 57 66 63 92 64 88 7 1 22 1 1 1 23 17 12 48.4 43.6 51.8 40.7 14 57 63 1 74 78 70 42.8 42.9 Click here for the Excel Data File. Data file should open in a new browswer window. Select "File" then "Save As" to download the file to your computer and be able to use it in Excel. a. What is the question being asked? b. Label your dependent variable: y =
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