Alpha Geek

(8)

$10/per page/Negotiable

About Alpha Geek

Levels Tought:
University

Expertise:
Accounting,Algebra See all
Accounting,Algebra,Architecture and Design,Art & Design,Biology,Business & Finance,Calculus,Chemistry,Communications,Computer Science,Environmental science,Essay writing,Programming,Social Science,Statistics Hide all
Teaching Since: Apr 2017
Last Sign in: 345 Weeks Ago, 6 Days Ago
Questions Answered: 9562
Tutorials Posted: 9559

Education

  • bachelor in business administration
    Polytechnic State University Sanluis
    Jan-2006 - Nov-2010

  • CPA
    Polytechnic State University
    Jan-2012 - Nov-2016

Experience

  • Professor
    Harvard Square Academy (HS2)
    Mar-2012 - Present

Category > Computer Science Posted 01 Jun 2017 My Price 10.00

You are trying to determine the statistical significance of an equation

1) You are trying to determine the statistical significance of an equation. Given the following information, test the slope of the equation at the 90% level of confidence. Select the correct answer out of each pair of choices.
Cost = - 76.25 + 114.82 (Range) n=10 Sb1 = 17.669
 
 
 

The tp is 1.860

The tp is 2.365 

 

The tc is 4.315
The tc is 6.498

 

We would reject the null hypothesis 

 

 

We would fail to reject the null hypothesis

 

 

We would consider using the equation
We would not use the equation

 

2) Given a one independent variable linear equation that states cost in $K, and given the following information, calculate the standard error and determine its meaning.
[Image Description: n =10, Summation of (Y– Yhat)2 = 10591, Ybar=314.375]
 
 
 
If we used this equation, we could typically expect to be off by ± $42.01K. 
If we used this equation, we could typically expect to be off by ± $36.39K. 
If we used this equation, we could typically expect to be off by ± 42.01%. 
If we used this equation, we could typically expect to be off by ± 36.39%. 

 

3) You have calculated the following power model and associated unit space values: 
[Image Description: n =9, Summation of (Y– Yhat)2 = 3298]
 
 
 
Power equation because it has a lower standard error than the linear model. 
Linear equation because it has a lower standard error than the power model. 
Power equation because it has a higher standard error than the linear model. 
Linear equation because it has a higher standard error than the power model. 

 

Answers

Alpha Geek
(8)
Status NEW Posted 01 Jun 2017 03:06 PM My Price 10.00

-----------

Attachments

1496330464-2274957_1_636318713572778065_ans1.PNG
1496330466-2274957_2_636318713572778065_ans2.PNG
1496330470-2274957_3_636318713572778065_ans1.PNG
Not Rated(0)