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Linear regression wallCall: lm(formula = y ~ x) Residuals: Min 1Q Median 3Q Max -1.14545 -0.41212 0.04242 0.41970 1.01818 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.86667 0.48231 1.797 0.11 x 1.27879 0.07773 16.451 1.88e-07 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.706 on 8 degrees of freedom Multiple R-squared: 0.9713, Adjusted R-squared: 0.9677 F-statistic: 270.6 on 1 and 8 DF, p-value: 1.88e-07 |
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.NET NoSQL database for rapid development
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