ComputerScienceExpert

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Teaching Since: Apr 2017
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  • MBA IT, Mater in Science and Technology
    Devry
    Jul-1996 - Jul-2000

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  • Professor
    Devry University
    Mar-2010 - Oct-2016

Category > Math Posted 19 Apr 2017 My Price 8.00

Linear Regression Bonus

Do this assignment with Excel, but do not use automated software that does the calculations for you.Show that where these numbers are derived.

 

 

Linear Regression
Bonus
Do this assignment with Excel, but do not use
automated software that does the calculations for
you. Show that you know where these numbers
are derived. Formulas
Values for the intercept b and the slope b1 that minimize SSE are found by
taking partial derivatives of SSE with respect to b0 and b1. Setting these equations
equal to zero and solving them gives:
0 b0 = ybar - b1*xbar
b1 = (xi*yi – n*xbar*ybar)/(xi2 – n*xbar2)
These are called the least squares estimates for the intercept b0 and the slope b1.
AKA Ordinary Least Squares (OLS) estimates and the line is the line of “best” fit
or regression line. 2
(yˆii)2 Formulas for ANOVA ANOVA Source
SS
Regression
Error
Total df
MS
1 SSR
n-2 SSE/n-2
n-1 Bonus Data Assignment for Bonus Data
Plot the points on the x-y axis
Find slope coefficient using the formula
Find the intercept using the formula
Find R2 using the ANOVA
Draw the linear regression on the axis
Fill in the ANOVA and test at the 0.05 level to
see if the linear regression is statistically
significant

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ComputerScienceExpert
(11)
Status NEW Posted 19 Apr 2017 08:04 AM My Price 8.00

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