Part VI, last chart.

Question: If the mean for prediastolic is 87.231 and contr.sum was used in R, what is the emmean for diet 2?

I have included all the previous pages for your reference. Thank you.

T-Mobile LTE @ 47%@D+ 4:41 PM tuskegee.blackboard.com I. A fellow student needs assistance with her data analysis. She presents her data on an EXCEL spreadsheet as listed below. You realize that the structure of the data is unacceptable for analysis with statistical software. Her study used a 3 X3 factorial arrangement of treatments (drug therapy and diet) with three replication. The dependent (response) variable was systolic and diastolic blood pressure. measured in mmHg units. (NA issing) Blood pressure is Drug therapy 1 Drug therapy 2 Drug therapy 3 130 Diet112 136 69 21 134 122 137 23 135 83 150 132 143 147 87 87 211 222 141 223 36 147 232 149 233 145 Diet 2 212 129 87 85 97 213 131 105 311 131 312 136 313 133 79 80 82 331 332 145 333 153 NA 100 144 322 140 94 323 140 85 Demonstrate to her the correct structure in the following table assuming the data will be analyzed with R using only the first three observations. 4:42 PM tuskegee.blackboard.com T-Mobile LTE @ 47% LO, + Analysis of Variance Table Response: diastolic Df Sum Sq Mean Sq F value Pr (>F) diet 0.032819 drug 0.001042 diet:drug 4 155.76 38.94 1.0145 0.427585 Residuals 17 652.50 38.38 2 322.83 161.42 4.2055 2 811.06 405.53 10.5655 Signif. codes: 00.001 '** 0.01 *, 0.05, 0.1 , 1 Anova Table (Type II tests) Response: diastolic diet Sum Sq Df F value Pr >F) 379.50 2 4.9437 0.020307 811.06 2 10.5655 0.001042 drug diet:drug 155.76 4 1.0145 0.427585 Residuals 652.50 17 Signif. codes: 00.001* 0.01 '0.05. 0.1' 1 Anova Table (Type III tests) Response: diastolic Sum Sq Df F value Pr (>F) (Intercept) 185050 14821.2144Itl) (Intercept) 30.7307 3.103 0.00485* prediastolic 0.6177 5.479 1.24e-05 * 9.9041 0.1127 Signif. codes: 0 0.001 '** 0.01 0.05.'0.1''1 Residual standard error: 5.996 on 24 degrees of freedom (1 observation deleted due to missingness) Multiple R-squared: 0.5558, Adjusted R-squared: 0.5372 F-statistic: 30.02 on 1 and 24 DF, p- value: 1.241e-05 V. You decide to test whether the pre-test means for diastolic differed for vour two factors and whether an interaction existed between the two factors. Your analysis is below. Anova Table (Type III tests) Response: prediastolic Sum Sa Df F Vvalue Pr (>F) (Intercept) 206107 1 3178.1159 ItI) (Intercept) 40.048445 12.310656 3.253 0.00499* dietl -1.296416 1.673758 -0.775 0.44990 diet2 0.847 0.40957 drugl 1.100102 1.299050 -4.978015 1.338770 3.718 0.00187 drug2 0.651 0.52450 prediastolic 0.513498 0.140053 3.666 0.00209* dietl:drugl 3.884835 1.876412 2.070 0.05496 diet2:drugl 0.002011 1.826050 0.001 0.99914 dietl:drug2-0.412374 1.855866 0.940869 1.446018 -0.222 0.82697 diet2:drug2 -1.835888 1.880108 -0.976 0.34336 Signif. codes: 0 , 0.001 *, 0.01 '0.05.' 0.1''1 Residual standard error: 4.708 on 16 degrees of freedom (1 observation deleted due to missingness) Multiple R-squared 0.8174, Adjusted R-squared: 0.7147 F-statistic: 7.96 on 9 and 16 DF, p- value: 0.0001942