For a regression analysis, SStotal = 937.1 and r = 0.38. What is the value of SSerror?
A)801.8
B)581.0
C)135.3
For a regression analysis, SStotal = 937.1 and r = 0.38. What is the value of...
Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.72 0.51 0.38 99.45 6 Anova df SS MS F Significance F 0.11 1 41497.60 41497.60 4.20 Regression Residual 4 39561.23 9890.31 Total 5 81058.83 t Stat P-value Coefficients Standard Error 1423.60 564.95 2.52 0.07 Intercept X Variable 1 Lower 95% Upper 95% -144.96 2992.16 -0.11 0.72 Lower 95.0% Upper 95.0% -144.96 2992.16 -0.11 0.72 0.31 0.15 2.05 0.11 Assume that Craig's Fresh and Hot Pancake Restaurant does...
A one-way analysis of variance produces SSTotal = 80 and SSWithin = 30. For this analysis, what is SSBetween?
Which of the following is not correct about "R Square" in regression analysis? a) R Square explains how much of the variability in x is explained by y b) R Square is a measure of "goodness of fit" of the model. c) An Square value of 1.0 indicates a perfect fit of the model. d) R Square explains how much of the variability in y is explained by
In a one way-ANOVA with F test, the F value tends to decrease when: SStotal increases SStotal decreases SSwithin increases SSbetween increases Tukey's honestly significant difference (HSD) test of post-hoc analysis should be used only if: the omnibus null hypothesis in an AVOVA is retained. the omnibus null hypothesis in an AVOVA is rejected. the all the groups have the same sample size. the distributions are skewed.
Consider the following excel regression analysis output. Explain the significance of the r, p, F value; Give the regression equation SUMMARY OUTPUT Regression Statistics MultipleR 0.875179 R Square 0.765938 Adjusted R Square 0.73668 3.802138 Standard Error Obserations 10 ANOVA MS egression Residual 8 115.65 14.45625 494.1 Total p-value ehzandard Error t Stat Lower 95% U e, 95% Lower950% Upper 9509e 75.4 2.08251736.2062 3.71058E-10 70.59770833 80.20229167 70.59770833 80 20229167 Interoept X Variable1 4.35 0.850184 -5.11654 0.000911066 6.310527365 -2.389472635 -6.310527365 -2.389472635
3. In Step 7, a student's linear regression analysis yielded an R' value of 0.862. Suggest three reasons why this student's absorbance versus concentration data was so nonlinear.
Regression Analysis 2 You run a regression analysis and receive the following results SUMMARY OUTPUT Regression Statistics Multiple R 0 .9697622171 R Square 0.940438758 Adjusted R Square 0.92058501 Standard Error 360.0073099 Observations 5 IIIIIIII ANOVAT di SS M S F Sanificance Regression 11 6 139184 2116139184 2111 47 368327870 000 Residual 3 3 88.815.78951129605,26321 Total 146528000T IUSTI Intercept X Variable 1 Coefficients 2056. 58 1.50 Standard Error 4 54.25 0.1816 Stat 6.728812231 .882465029 P-value 0006701290 0.006283174 Refer to the Regression...
0 Regression analysis Regression Statistics Multiple R 0.86 R Square 0.75 Adjusted R Square 0.70 Standard Error 171.55 Observations 7 ANOVA of SS Significance F 0 .0120 Regression 1 M SF 435,336.22 29,429.90 435,336.22 147,149.49 14.79 Residual 6 582,485.71 Total Coefficients 709.81 0.29 Standard Error t 1,150.73 0.07 Stat 0.62 3.85 Lower P-value 95% 0.56 -2,248.24 0.010.09 Intercept X Variable 1 Upper 95% 3,667.85 0.48 Print Done E6-28A (similar to) Question Help Kim Meyer, owner of Tulip Time, operates a...
QUESTION 7 A one-factor ANOVA has a SSwithin = 45 and SStotal = 100. What is the value of SSbetween? SHOW WORK PLEASE A 36 B 3 C 55 D 92
Following a regression analysis output : SUMMARY OUTPUT Regression Statistics Multiple R 0.719422 R Square Adjusted R Square 0.477366 Standard Error Observations 14 ANOVA df SS MS F Regression 1 3.028885709 Residual 12 2.823257148 Total 13 5.852142857 Coefficients Standard Error t Stat P-value Intercept 1.157091 0.566482479 0.063699302 Satisfaction with Speed of Execution 0.636798 0.177478218 0.003726861 Group of answer choices R Square is 0.517 Standard error is 0.386 Residuals are 2.823 F-test is 11.87 R Square is 0.517 Standard error is...