Problem 5 of 7 Consider the standard definitions of sum of squared deviations in the two types of one factor ANOVA discussed in this unit. Prove the following. 1. SST SSA+SSE (completely randomized A...
Problem 5 of 7 Consider the standard definitions of sum of squared deviations in the two types of one factor ANOVA discussed in this unit. Prove the following. 1. SST = SSA +SSE (completely randomized ANOVA) 2. SST SSA +SSB SSE (randomized complete block ANOVA) 3. Prove the two alternative formulas for calculating the SSA,SSE,SST in the completely randomized ANOVA. Provide a justification of why someone may prefer to use these formulas against the others that calculate the sum of...
The following ANOVA model is for a multiple regression model with two independent variables: Degrees of Sum of Mean Source Freedom Squares Squares F Regression 2 60 Error 18 120 Total 20 180 Determine the Regression Mean Square (MSR): Determine the Mean Square Error (MSE): Compute the overall Fstat test statistic. Is the Fstat significant at the 0.05 level? A linear regression was run on auto sales relative to consumer income. The Regression Sum of Squares (SSR) was 360 and...