Given are five observations for two variables, and . 1 2 3 4 5 4 6 8 12 14
The estimated regression equation for these data is . ^y=1+2.6x
a. Compute SSE, SST, and SSR using the following equations (to 1 decimal). SSE=Σ(yi-^yi) SST=Σ(yi-^yi) SSR=Σ(yi-^yi)
b. Compute the coefficient of determination r^2 (to 3 decimals). Does this least squares line provide a good fit?
c. Compute the sample correlation coefficient (to 4 decimals)
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from above:
a)
SSE =1.200
SST =68.800
SSR =67.600
b)
coefficient of determination =0.983 ; this is a good fit
c)
correlation coefficient r= | Sxy/(√Sxx*Syy) = | 0.9912 |
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