Clients Sales 37 42 33 55 15 25 58 36 28 31 38 SUMMARY Multiple R 0.885801581 R

Question

Clients Sales 37 42 33 55 15 25 58 36 28 31 38 SUMMARY Multiple R 0.885801581 R Square 0.78464444 Adjusted R Square 0.763108884 Standard Error 5.804049746 Observations ANOVA. Significance SS /MS Regression 1 1227.380065 1227.380065 36.43483551 0.000125906 Residual 10 336.8699346 33.68699346 Total 11 1564.25 Coefficients Upper Standard Error t stat P-value Lower 95% 95% Intercept 17.69186985 4.941108804 3.580546503 0.00500 7151 6.682393351 28.70135 Clients 1.118596551 0.185316918 6.036127526 0.000125906 0.705684726 1.531508

Explanation / Answer

Q 31 Least square estimate of slope = 1.1186

Q 32 Least square estimate of Y intercept = 17.6919

Q 33 Prediction for X = 25 is, 17.6919+1.1186*25 = 45.6569

Q 34 Total Sum of Square (SST) = 1564.25

Q 35 SSR = 1227.380065

Q 36. SSE = 336.8699346

Q 37 R2 = 0.78464444

Q 38 .78.46%

Q 39 SE(slope) = 0.185316918

Q40 SE(Estimate) = 5.804049746

Q41 Correlation coefficient r = 0.885801581

Q42 t = 2.80733568

Related Questions

Navigate

• Browse (All)
• Browse C
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.