If I am running a two-way ANOVA and I see that both factors and their interactions are significant effects, I can say that my Y-variable is correlated with both factors.
Q: Why would researchers believe that an ordinary least squares regression is superior to a partial…
A: Ordinary least square regression is a method for obtaining a linear relationship between any…
Q: Explain the difference between the one-way fixed effects model and the one-way random effects model.
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A: Interactions:In ANOVA, firstly the interaction effects are found between the given variables. The…
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Q: In single-factor ANOVA, when the calculated value of the test statistics, F*, is greater than the…
A: We want to tell you which one is the correct choice.
Q: In MANOVA, main effects and interaction are assessed on multiple dependent variables (DVs). True or…
A: MANOVA: MANOVA (one-way multivariate analysis of variance) is used to determine the significant…
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A: Introduction: Consider that x is the independent variable and y is the dependent variable. The size…
Q: Explain why the null hypothesis should not be accepted when the effect is not significant?
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Q: Like many studies that involve BMI, the above studies are using BMI as a proxy for fat, and fat as a…
A: BMI- Body mass index, used as a measure to steady health
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A: Multicollinearity (MColl) exists when independent variables (IVs) are dependent on each other.
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A: Given, The statement to check true or false? To find, Experimental studies like RCTs are…
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Q: oup) was asked to consume the health drink for a certain period of time and the other group (the…
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Q: What is the Beta that shows the strongest controlled association?
A: Standardized Beta Coefficient A standardized beta coefficient compares the strength of the effect of…
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A: Introduction: Consider a multiple regression model with response variable, y, and two explanatory…
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A: From there results of first question, the correlation value is 0.97.
Q: In a two-way ANOVA with interaction, a significant interaction term indicates that.
A: Two-way ANOVA: A statistical technique is used for analyzing the two or more than two means.…
Q: In a two-way ANOVA, why is the test for interaction done first?
A: Purpose of conducting interaction test first: If there is no interaction effect present in the…
Q: what happens to the F-statistic if two variances are different?
A: The two variances are different hence the F-statistic are as follows,
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Q: 28. In a Two-Way ANOVA, it is possible to get a significant interaction effect even if the main…
A: Given info: In a two-way ANOVA, it is possible to get a significant interaction effect even if the…
Q: Does the overall alpha level change if you use a one-tailed test vs. a two tailed test? why or why…
A: Yes. The overall alpha level changes if compared to one-test verses a two tailed test. The alpha…
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A: A dependent variable (or response variable) is a variable that has been examined or evaluated in a…
Q: The article "Americans are 'Getting the Wrong Idea' on Alcohol and Health"† reported that…
A: The correct options are, b.Someone who is more active is more likely to seek out healthier food.…
Q: Is the dependent variable is always dependent to the independent variable(s) of the study? Why?
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Q: Observational studies can reveal only association, whereas designed experiments can help establish…
A: Here we want to determine correct choice.
Q: A type 2 error occurs when a treatment actually does have an effect on the scores but the effect was…
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- What is an experiment?1a. Should post-hoc tests be run if a researcher has failed to reject the null hypothesis for an ANOVA? Explain why or why not. 1b. The total variability in an ANOVA contains which two subtypes of variability?A researcher is trying to determine which treatment method—sleeping longer hours, using a moisturizing cream, or drinking increased amounts of water—is best for reducing skin dryness. Which procedure should she use? Group of answer choices; Mean Independent samples t-test ANOVA Correlation
- Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study.Run the single-factor ANOVA for this data: LowModerate HighModerate ModeratelySevere Severe 3 2.7 3.4 4.6 2.1 1.6 3.6 3.5 2.4 2.4 2.8 3.1 1.8 2 3.1 2.5 2.2 2.2 3.4 3.4 0 2.3 4.7 3.1 Fill in the summary table for the ANOVA test: S.S. d.f. M.S. Between Within TOTAL From this table, obtain the necessary statistics for the ANOVA:F-ratio: p-value: η2= What is your final conclusion? Use a significance level of α=0.01. There is a significant…When should you use a one-way ANOVA to analyze your data? Distinguish between one–way ANOVA for independent groups and a one–way Repeated Measures ANOVA.What is H0 for a one-way ANOVA? If H0 is rejected, does that imply that each mean is significantly different from every other mean? What information do you need to decide on a sample size that will provide adequate statistical power? If there is an overall significant F in a one-way ANOVA, can we conclude that the group membership or treatment variable caused the observed differences in the group means? Why or why not?