How to determine more than two unknown parameters (bo, b1, b2) of a multiple regression.
Given than
Y= b0+ (b1 x1)+ (b2 x2)
If given that all values of Y and values of X1 & x2.
How to calculate b0 (intercept) and b1, b2.
as well as regression coefficient value (Rsquare)?
Kindly suggest Any statistical software (excel, matlab, SPSS) step wise solution.
In MATLAB, fitlm() is the function you're looking for. You can specify how the model fit should look like, and MATLAB then computes the parameters b0, b1, b2, .... bN using a least-squares method.
Dear Javed,
SPSS IBM 20.
Please see attached screen shots and SPSS output
Dear Javed,
SPSS IBM 20.
Please see attached screen shots and SPSS output
Thanks dear
Actually there were some issues with the representation and grouping of data hence I couldnt get the desired result.
I have already corrected and solved it however this time through the excel .
@Suchaira Suranga thanks for your quick response I really acknowledge for your such help, I have learnt SPSS already however need to install again to see the responce but your answer would help me in future too.
@erik nice to see matlab code , I must like to see that to see how matlab would give the output response indeed.
Thanks all.
Keep helping others too.
Because this was very minor issue but infact I have wasted many days for solutions , and if I posted earlier here then I must save many precious days here.
Thanks again
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