SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Squa 0.97872
ID: 3046581 • Letter: S
Question
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Squa 0.978724022 0.957900711 0.952287472 Standard Error 67.67055418 Observations 18 ANOVA df MS Significance F Regression Residual Total 21562918.941 781459.5 170.6503 4.80907E-11 15 17 68689.55855 4579.304 1631608.5 Intercept X1 X2 Coefficients Standard Error t Stot P-value 1959.709718 0.469657287 2.163344882 306.4905312 6.39403 1.21E-05 0.264557168 -1.77526 0.096144 0.278361425 7.77171 1.23E-06 The regression equation for this analysis isExplanation / Answer
From summary table.
Intercept = 1959.709718 = 1959.71
x1 = -0.469657286 = -0.46
x2 = -2.163344882 = -2.16
Therfor Regression Model is,
y = 1959.71 - 0.46 * x1 - 2.16 * x2
I.e second option is correct.
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