3. Complete the regression ANOVA table below: n=26 (x.y) pairs
Source of Variance |
Sum of Squares |
DOF d.f. |
Mean Squares |
F |
Regression |
1746 |
FSTAT= |
||
Error |
8640 |
Fcrit= |
||
Total |
10386 |
XXXXXXXXXXXXXXX |
Α = .05 |
3. Complete the regression ANOVA table below: n=26 (x.y) pairs Source of Variance Sum of Squares...
Mean Square (Variance) Degrees of Sum of Source Freedom Squares Consider an experiment with nine groups, with eight values in each. For the ANOVA summary table shown to the right, fill in all the missing results. Among FSTAT ? MSA 22 SSA ? c-1 ? groups Within MSW ? SSW 693 n c groups Total SST ? n-1 2 Complete the ANOVA summary table below. Degrees of Freedom Sum of Mean Square (Variance) MSA 22 Source Squares FSTAT Among groups...
Consider the data that is summarized in the ANOVA table below. Source d.f. Sum of Squares Mean Square F Treatment 1150 Error 475 25 Total 23 Test the hypothesis H0 : μ1 = μ1 = … = μk vs H1 : μi ≠ μj for at least one pair (i, j) (a) [2 marks] What is the value of the test statistic? (b) [1 mark] What is the 5% critical value?
Part of an ANOVA table is shown below. Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 180 3 Within Treatments (Error) TOTAL 480 18 The mean square due to error (MSE) is a. 60. b. 15. c. 20. d. 18.
Refer to the ANOVA table for this regression. Source d.f. SS MS Regression 2 586,629 293,315 Error 25 339,005 13,560 Total 27 925,634 The degrees of freedom for regression are and for error . (b) Use Appendix F to look up the critical value of F for α = .05. (Round your answer to 2 decimal places.) F.05 _____________ (c-1) Calculate the F statistic. (Round your answer to 3 decimal places.) F statistic__________ (d) Calculate R2 and R2adj. (Round your answers...
e. Set up the ANOVA table for this problem. Round all Sum of Squares to nearest whole numbers. Round all Mean Squares to one decimal places. Round F to two decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F Treatments Error Total f. At the α-.05 level of significance, test whether the means for the three treatments are equal The p-value is less than.01 What is your conclusion? Select The following data are from a...
Part of an ANOVA table is shown below. Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 64 8 Within Treatments (Error) 2 Total 100 The number of degrees of freedom corresponding to between-treatments is a. 3. b. 4. c. 2. d. 18.
The ANOVA summary table to the right is for a multiple regression model with five independent variables. Complete parts (a) through (e). Source Degrees of Freedom Sum of Squares Regression 5 270 Error 28 110 Total 33 380 a. Determine the regression mean square (MSR) and the mean square error (MSE). b. Compute the overall FSTAT test statistic. FSTAT=_______________________ (Round to four decimal places as needed.) c. Determine whether there is a significant relationship between Y and the two independent...
Exhibit 13-5 Part of an ANOVA table is shown below. Source of Variation Sum of Squares Degrees of Freedom F Mean Square 180 3 Between treatments Within treatments (Error) Total 480 18 Refer to Exhibit 13-5. The mean square between treatments (MSTR) is a. 300 b. 60 O c. 15 O d. 20
Problem 4: Complete the ANOVA table based on the following data: Replications Standard Deviation Factor A Level 1 Level 2 Mean 15 ANOVA Table Degree Freedom of Sum of square Mean sum of F-valuc Source error square error Treatment Error Total NA NA NA Recall that for single-factor ANOVA, we have the following -SSTreatments+SSp where ss,-Σ Σ(y)-T)-total sum of squares n Σ(vi-r-treatment sum of squares i- SSE _ Σ Σ(w-5)2-error sum of squares Given a dataset like the following: Treatment...
3. Consider the partially completed two-way ANOVA summary table. Source Sum of Squares Degrees of Freedom Mean Sum of Squares Factor B Factor A 600 200 Interaction 144 Error 384 Total 1,288 23 The number of Factor A populations being compared for this ANOVA procedure is _ A) 5 B) 7 C) 4 D) 6