Question

Please assist with Part B. Part A has been completed and is seen below. Part is...

Please assist with Part B. Part A has been completed and is seen below. Part is needed to solve Part B.
.

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Part A is

media%2F387%2F387bb375-4601-41ed-98c9-2f

media%2F827%2F82797966-0f7c-4811-b204-c5

media%2F34c%2F34c8e500-0e60-4541-aeaa-14

media%2F25e%2F25ea5295-b904-43f4-838f-ef

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Answer #1

Answer:

Excel Addon Megastat used.

Menu used: correlation/Regression ---- Regression Analysis.

Select Exam score as y variable and Employment hours as x variable.

Megastat output:

Regression Analysis

0.753

n

8

r

-0.867

k

1

Std. Error

7.283

Dep. Var.

Exam score

ANOVA table

Source

SS

df

MS

F

p-value

Regression

967.7500

1  

967.7500

18.25

.0053

Residual

318.2500

6  

53.0417

Total

1,286.0000

7  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=6)

p-value

95% lower

95% upper

Intercept

91.5000

3.5599

25.703

2.29E-07

82.7892

100.2108

Employment hours

-0.8750

0.2048

-4.271

.0053

-1.3762

-0.3738

To test the significance of the model,

Calculated F= 18.25, P=0.0053 which is < 0.05 level of significance.

The model is significant.

Normal Probability Plot of Residuals 10.0 5.0 O0.0 5.0 10.0 15.0 2.0 1.5 1.0 0.5 0.0 0.5 1.0 15 2.0 Normal Score Residuals by Predicted 14.6 7.3 E 0.0 14.6 40 50 60 70 Predicted 80 90 100 Residuals by Employment hours 14.6 7.3 E 0.0 14.6 10 20 Employment hours 30 40 50

The residual plots shows that the model is appropriate.

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