Multiple Regression Equation,Coefficient of correlation,Correltion analysis questions

[rock pora]

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[rock pora]

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[rooshan2008]

umba NIBM da ?

 

[rock pora]

umba NIBM da ?

na bn

 

[jonhrcm]

ane ban owa danne nethoooooooooo

 

[rock pora]

ane ban owa danne nethoooooooooo

awlk na bn
thread eka up karala dunnata thanx macho

 

[niyomax]

machan mama dennan gedara neme inne..hawas welaa daannada hadana widi

uba mokeda course eka karanne ?

 

[rock pora]

machan mama dennan gedara neme inne..hawas welaa daannada hadana widi

uba mokeda course eka karanne ?

adee ubata mathak veida danna bn havas veddi
ane loku udavvak bn

 

[jolySira]

Q1)

Y = 0.79116X1+0.60484X2-.02686

As FCS and LTI increase, the long term durability also increases.

adjusted R^2 = 1- ((0.77435/12)/(13.38473/14)) ( සුලු කරන්න කම්මලී බං)

Higher R^2 value means the model is a better fit

හරියට මතක නෑ බං, පොඩ්ඩක් බලන්න ආපහු... Regression අරහං මට. Bayesian/Time Series (stochastic) ඒවානම් ඕන තරම් අහපං


Q2)

මෙන්න මේකට ගිහින් variables වල values දෙන්න වෙන වෙනම

Correlation Coefficient Calculator

interpret කරන්න දන්නවනේ..


ඔක්කොම කරන්න බෑ බං. වෙලා නෑ...

 

[rock pora]

Q1)

Y = 0.79116X1+0.60484X2-.02686

As FCS and LTI increase, the long term durability also increases.

adjusted R^2 = 1- ((0.77435/12)/(13.38473/14)) ( සුලු කරන්න කම්මලී බං)

Higher R^2 value means the model is a better fit

හරියට මතක නෑ බං, පොඩ්ඩක් බලන්න ආපහු... Regression අරහං මට. Bayesian/Time Series (stochastic) ඒවානම් ඕන තරම් අහපං


Q2)

මෙන්න මේකට ගිහින් variables වල values දෙන්න වෙන වෙනම

Correlation Coefficient Calculator

interpret කරන්න දන්නවනේ..


ඔක්කොම කරන්න බෑ බං. වෙලා නෑ...

Q1) ane vasthuveeee mehema dammata therenne nane bn
Bayesian/Time Series (stochastic) kiyanne monavada bn.haha vadi sellan one na bn,eva apita karala na

Q2) macho e site ekata giyama enne coefficient of corelation eke value ekane bn.ekanam formula ekata dala mata karaganna puluvan
anith tika thama bn one

mata me paper ekata 40k dagannai bn one
ane thanx machoo help kalata.mn try ekak dennam

 

[rock pora]

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[rock pora]

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[rock pora]

bumpz

 

[rock pora]

bp

ela

 

[rock pora]

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[niyomax]

Q6
1. y=-0.02686 + 0.79116(X1) + 0.60454(X2)
2. Slop of X1(FSC)

Y will be increased by 0.79116
If X1 is increased by 1 unit.

Slop of X2(LTI)
Y will be increased by 0.60484 if X2 is increased by 1 unit.

3.
r2 =SSR /SST = 12.61020/13.38473=0.9421 =94%

94% Of the variation in y(long term durability) is explained by the variables FSC & LTI in the multiple model.

4.
As p=0.0001< alpha =0.01
The null hypothesis H0 : Beeta(mark eka daaganin)1 = Beeta 2=0 can be rejected.
The fitted regression model is very good.

 

[niyomax]

Q4 nan danne ne machan

anikwa ekama wage..Coefficient of correlation walin example ekak balapan net eken..e widiyatama thamai anik tika

 

[rock pora]

Q6
1. y=-0.02686 + 0.79116(X1) + 0.60454(X2)
2. Slop of X1(FSC)

Y will be increased by 0.79116
If X1 is increased by 1 unit.

Slop of X2(LTI)
Y will be increased by 0.60484 if X2 is increased by 1 unit.

3.
r2 =SSR /SST = 12.61020/13.38473=0.9421 =94%

94% Of the variation in y(long term durability) is explained by the variables FSC & LTI in the multiple model.

4.
As p=0.0001< alpha =0.01
The null hypothesis H0 : Beeta(mark eka daaganin)1 = Beeta 2=0 can be rejected.
The fitted regression model is very good.

Q4 nan danne ne machan

anikwa ekama wage..Coefficient of correlation walin example ekak balapan net eken..e widiyatama thamai anik tika

elakiri machooo
thanx ah
mn net eken godak eva hoyagattha bn ela ela