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Use StatKey or other technology to find the regression line to predict Y from X using the following data. 6 2 7 3 6 4 Y 3 1.5
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Answer #1

for simple linear regressior Y^=a+b*X=-0.47+0.82X

a=(sum(y)*sum(x2)-sum(x)*sum(xy))/(n*sum(x2)-(sum(x))2)=-0.47

b=(n*sum(xy)-sum(x)*sum(y))/ (n*sum(x2)-(sum(x))2)=0.82

s.n. x y x2 y2 xy
1 3 2 9 4 6
2 5 3 25 9 15
3 2 1.5 4 2.25 3
4 7 6 49 36 42
5 6 4 36 16 24
sum= 23 16.5 123 67.25 90

following regression analysis information can also be generated using data analysis in ms-excel

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.950276
R Square 0.903025
Adjusted R Square 0.8707
Standard Error 0.643242
Observations 5
ANOVA
df SS MS F Significance F
Regression 1 11.55872 11.55872 27.93583 0.01321
Residual 3 1.241279 0.41376
Total 4 12.8
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept -0.47093 0.769268 -0.61218 0.583695 -2.91908 1.977222
X Variable 1 0.819767 0.155099 5.285436 0.01321 0.326172 1.313363
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