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Model: 01) Co. Vs T

SUMMARY OUTPUT

Regression StatisticsMultiple R 0.95748533R Square 0.916778157Adjusted R Square 0.913159816Standard Error 1.396721163Observations 25

ANOVA df SS MS F Significance F

Regression 1 494.2813099 494.28131 253.36975 6.55224E-14Residual 23 44.86909015 1.95083Total 24 539.1504

CoefficientsStandard

Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept 2.743277552 0.675205944 4.0628753 0.0004812 1.346507645 4.14004746 1.346507645 4.140047458Tar content (mg) 0.80097597 0.050320171 15.917592 6.552E-14 0.696880766 0.90507117 0.696880766 0.905071173

Co = 2.743+0.8009*Tart = 15.917Adjusted R Square = 91.3%

Interpretation:

Here Adjusted R Square has value close to 1, so it is significant with 91.3%. Also, if t Stat is close to 2 or more than 2, then it is significant and here t = 15.917, so it is significant and Tar content is significantly related with Co.

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Model: 02) Co Vs. N

SUMMARY OUTPUT Regression Statistics

Multiple R 0.925947305R Square 0.857378412Adjusted R Square 0.851177473Standard Error 1.828452497Observations 25


Regression 1 462.2559137 462.2559 138.2659 3.31172E-11Residual 23 76.89448626 3.343239 Total 24 539.1504

Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept 1.664666473 0.993601759 1.675386 0.107403 -0.390755356 3.720088303 -0.390755356 3.720088303Nicotine content (mg) 12.39540567 1.054151882 11.75865 3.31E-11 10.21472637 14.57608497 10.21472637 14.57608497

Co= 1.664+12.39*Nicotinet= 11.758Adjusted R Square= 85.11%

Interpretation:

Here Adjusted R Square has value close to 1, so it is significant with 85.11%. On the other hand, if t Stat is close to 2 or more than 2, then it is significant and here t = 11.758, so it is significant and Nicotine content is significantly related with Co.

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Model: 03) Co. Vs W

SUMMARY OUTPUT

Regression Statistics Multiple R 0.463959197R Square 0.215258137Adjusted R Square 0.181138925Standard Error 4.288984321Observations 25


Regression 1 116.0565104 116.0565 6.309001 0.019481173Residual 23 423.0938896 18.39539 Total 24 539.1504

CoefficientsStandard

Error t Stat P-value Lower 95% Upper 95%Lower 95.0%

Upper 95.0%

Intercept-

11.79527119 9.721626229 -1.2133 0.237328 -31.90598716 8.315444782-

31.90598716 8.315444782Weight (g) 25.06819775 9.980282086 2.511772 0.019481 4.422411379 45.71398413 4.422411379 45.71398413

Co=-11.795+25.06*Weightt= 2.51Adjusted R square=18.11%

Interpretation: Here, Adjusted R Square has value which is not close to 1, so it is not significant with 18.11%. On the other hand, if t Stat is close to 2 or more than 2, then it is significant and here t = 2.51, so it is significantly related with Co.

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Model: 04) Co Vs. T&N

SUMMARY OUTPUT




Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept 3.0896093 0.843769957 3.6617 0.0014 1.339737483 4.83948104 1.33973748 4.83948104Tar content (mg) 0.9624741 0.236663341 4.0668 0.0005 0.471664375 1.45328383 0.47166438 1.45328383Nicotine content (mg) -2.6462721 3.787198821 -0.699 0.492 -10.50044173 5.20789747 -10.500442 5.20789747

Co= 3.089+0.962*Tar-2.646*NicotineAdjusted R Square= 91.11%t(Tar)= 4.07t(Nicotine)=-0.698

Interpretation: Here Adjusted R Square has value close to 1, so it is significant with 91.11%. On the other hand, if t Stat is close to 2 or more than 2, then it is significant and here t(Tar)= 4.07, so it is significant but t(Nicotine)= -0.698, which is not significantly related with Co.

Model: 05) Co Vs. N&W

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SUMMARY OUTPUT




Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept 1.61397795 4.446630071 0.363 0.7201 -7.607768359 10.8357243 -7.60776836 10.8357243Nicotine content (mg) 12.3881157 1.244734426 9.9524 1E-09 9.80669451 14.9695369 9.80669451 14.9695369Weight (g) 0.05882551 5.02395282 0.0117 0.9908 -10.36021489 10.4778659 -10.3602149 10.4778659

Co= 1.61+12.38*Nicotine+0.058*weightAdjusted R square= 84.44%

t(Nicotine)= 9.952

t(Weight)= 0.011

Interpretation: Here, Adjusted R Square has value close to 1, so it is significant with 84.44%. On the other hand, if t Stat is close to 2 or more than 2, then it is significant and here t(Nicotine)= 9.952, so it is significant but t(Weight)= 0.011, which is not significantly related with Co.

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Model: 06) Co Vs. W&T

SUMMARY OUTPUT




Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept 3.11433366 3.416204091 0.9116 0.3718 -3.970439971 10.19910728 -3.970439971 10.19910728Tar content (mg) 0.8041891 0.05903502 13.622 3E-12 0.681757966 0.926620241 0.681757966 0.926620241

Weight (g) -0.42287387 3.81299012 -0.111 0.9127 -8.330531348 7.484783614 -8.330531348 7.484783614

Co= 3.11+0.804*Tar-0.422*WeightAdjusted R Square= 90.9%T (Tar)= 13.622T (Weight)= -0.11

Interpretation: Here Adjusted R Square has value close to 1, so it is significant with 90.9%. On the other hand, if t Stat is close to 2 or more than 2, then it is significant and here t(Tar)= 13.6222, so it is significant but t(Weight)= -0.11, which is not significantly related with Co.

Model: 07) Co. Vs T, N & W

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SUMMARY OUTPUT




Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept 3.20219002 3.461754727 0.925 0.3655 -3.996923012 10.40130305 -3.99692301 10.40130305Tar content (mg) 0.96257386 0.24224436 3.9736 0.0007 0.458799134 1.466348579 0.458799134 1.466348579Nicotine content (mg) -2.6316611 3.900557446 -0.675 0.5072 -10.74331435 5.479992126 -10.7433143 5.479992126Weight (g) -0.1304819 3.88534182 -0.034 0.9735 -8.210492464 7.949528757 -8.21049246 7.949528757

Co= 3.202+0.963*Tar-2.63*Nicotine-0.130*WeightAdjusted R Square= 90.6%T (Tar content) = 3.9736T (Nicotine content) = -0.675T (Weight) = -0.034

Interpretation: Adjusted R Square has value close to 1, so it is significant with 90.6%. On the other hand, if t Stat is close to 2 or more than 2, then it is significant and here t(Tar)= 3.97, so it is significant, but t(Nicotine)= -0.67 and t(Weight)= -0.03, which are not significantly related with Co.

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