Given this output, calculate the values for a regression of x~y: X_bar = 15 Y_bar = 52 Sx = 9.59 Sy = 28.59

[answerhappygod]

Given this output, calculate the values for a regression of
x~y:
X_bar = 15
Y_bar = 52
Sx = 9.59
Sy = 28.59

Given This Output Calculate The Values For A Regression Of X Y X Bar 15 Y Bar 52 Sx 9 59 Sy 28 59 1 (227.24 KiB) Viewed 105 times

Transcribed Image Text from this QuestionCall: lm (formula = x - y) Residuals: 1 2 3 4 5 0.6202 0.9706 -2.0110 -0.3211 -0.9670 6 1.7083 Coefficients: Estimate Std. Error t value Pr(>1t|). (Intercept) -2.26970 -1.633 0.177801 у 0.33211 0.02389 0.000155 *** Signif. codes: O'***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ! 1 Residual standard error: 1.527 on 4 degrees of freedom Multiple R-squared: ,Adjusted R-squared: F-statistic: 193.3 on 1 and 4 DF, p-value: Standard error of the intercept t-value of y variable SSE or Residuals Sum Squares Regression Sum of Squares Total Sum of Squares Multiple R-squared Adjusted R-squared p-value of the F-test