# Differences

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 r_workshop4 [2018/10/06 16:21]wvieira [6.1 Assumptions] r_workshop4 [2018/10/10 19:35]katherinehebert [7.3 Polynomial regression (advanced section/ optional)] 2019/08/08 17:52 mariehbrice [Workshop 4: Linear models] 2018/10/24 10:11 mariehbrice [Workshop 4: Linear models] 2018/10/10 19:35 katherinehebert [7.3 Polynomial regression (advanced section/ optional)] 2018/10/06 16:21 wvieira [6.1 Assumptions] 2018/10/05 15:55 katherinehebert [2.3 Normalizing data] 2018/10/05 14:57 katherinehebert [2.1 Running a linear model] 2018/10/04 13:25 katherinehebert [Workshop 4: Linear models] 2018/09/26 16:26 shaun.turney [1.5 Work flow] 2018/09/26 16:25 shaun.turney [1.5 Work flow] 2018/09/26 16:21 shaun.turney [6.1 Assumptions] 2018/09/26 16:19 shaun.turney [3.6 Complementary test] 2018/09/26 16:17 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 16:11 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 16:03 shaun.turney [1.5 Work flow] 2018/09/26 16:02 shaun.turney [1.4 Work flow] 2018/09/26 16:02 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 15:46 shaun.turney [1.3 Linear model assumptions] 2018/09/26 15:41 shaun.turney [3.3 Running an ANOVA] 2018/09/26 15:41 shaun.turney [3.2 T-test] 2018/09/26 15:39 shaun.turney [3.2 T-test] 2018/09/26 15:37 shaun.turney [3.1 Types of ANOVA] 2018/09/26 15:36 shaun.turney [3. ANOVA] 2018/09/26 15:33 shaun.turney [2.4 Data transformation] 2018/09/26 15:31 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:27 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:27 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:26 shaun.turney [2.1 Running a linear model] 2018/09/26 15:22 shaun.turney [2.1 Running a linear model] 2018/09/26 15:21 shaun.turney [2. Simple linear regression] 2019/08/08 17:52 mariehbrice [Workshop 4: Linear models] 2018/10/24 10:11 mariehbrice [Workshop 4: Linear models] 2018/10/10 19:35 katherinehebert [7.3 Polynomial regression (advanced section/ optional)] 2018/10/06 16:21 wvieira [6.1 Assumptions] 2018/10/05 15:55 katherinehebert [2.3 Normalizing data] 2018/10/05 14:57 katherinehebert [2.1 Running a linear model] 2018/10/04 13:25 katherinehebert [Workshop 4: Linear models] 2018/09/26 16:26 shaun.turney [1.5 Work flow] 2018/09/26 16:25 shaun.turney [1.5 Work flow] 2018/09/26 16:21 shaun.turney [6.1 Assumptions] 2018/09/26 16:19 shaun.turney [3.6 Complementary test] 2018/09/26 16:17 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 16:11 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 16:03 shaun.turney [1.5 Work flow] 2018/09/26 16:02 shaun.turney [1.4 Work flow] 2018/09/26 16:02 shaun.turney [1.4 Test statistics and p-values] 2018/09/26 15:46 shaun.turney [1.3 Linear model assumptions] 2018/09/26 15:41 shaun.turney [3.3 Running an ANOVA] 2018/09/26 15:41 shaun.turney [3.2 T-test] 2018/09/26 15:39 shaun.turney [3.2 T-test] 2018/09/26 15:37 shaun.turney [3.1 Types of ANOVA] 2018/09/26 15:36 shaun.turney [3. ANOVA] 2018/09/26 15:33 shaun.turney [2.4 Data transformation] 2018/09/26 15:31 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:27 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:27 shaun.turney [2.2 Verifying assumptions] 2018/09/26 15:26 shaun.turney [2.1 Running a linear model] 2018/09/26 15:22 shaun.turney [2.1 Running a linear model] 2018/09/26 15:21 shaun.turney [2. Simple linear regression] 2018/09/26 15:20 shaun.turney [1.2 Linear models] 2018/09/26 15:19 shaun.turney [1.3 Linear model assumptions] 2018/09/26 15:18 shaun.turney [1.2 Linear models] 2018/09/26 15:16 shaun.turney [Workshop 4: Linear models] 2018/09/25 16:46 shaun.turney [6.3 Running an ANCOVA] 2018/09/25 16:42 shaun.turney [6.1 Assumptions] 2018/09/25 16:41 shaun.turney [6.2 Types of ANCOVA] 2018/09/25 16:38 shaun.turney [6.1 Assumptions] 2018/09/25 16:38 shaun.turney [4. Two-way ANOVA] 2018/09/25 16:36 shaun.turney [3.2 T-test] 2018/09/25 16:35 shaun.turney [3.2 T-test] 2018/09/25 16:34 shaun.turney [3.4 Verifying assumptions] 2018/09/25 16:31 shaun.turney [3.2 T-test] 2018/09/25 16:29 shaun.turney [3.4 Verifying assumptions] 2018/09/25 16:27 shaun.turney [3.2 T-test] 2018/09/25 16:26 shaun.turney [3. ANOVA] 2018/09/25 16:22 shaun.turney [2.5 Model output] 2018/09/25 16:19 shaun.turney [2. Simple linear regression] 2018/09/25 16:18 shaun.turney [2. Simple linear regression] 2018/09/25 16:13 shaun.turney [3.9 Contrasts (advanced section/ optional)] 2018/09/25 16:13 shaun.turney [3.8 Plotting] 2018/09/25 16:13 shaun.turney [3.7 Complementary test] Both sides next revision Line 1278: Line 1278: ---- ---- - CHALLENGE 7 + **CHALLENGE 7** + + Compare the different polynomial models in the previous example, and determine which model is the most appropriate. Extract the adjusted R squared, the regression coefficients,​ and the p-values of this chosen model. ++++ Challenge 7: Solution| ++++ Challenge 7: Solution|