Question

What are the two main reasons for including covariates in ANOVA? a. 1.) To increase within-group...

What are the two main reasons for including covariates in ANOVA? a. 1.) To increase within-group error variance and 2. To reduce between-group error variance b. 1.) To reduce within-group error variance and 2.) Elimination of confounds c. 1.) To increase within-group error variance and 2). To correct the means for the covariate d. 1.) 1.To increase between-group variance and 2.) To reduce within-group error variance

0 0
Add a comment Improve this question Transcribed image text
Answer #1

option B is correct :

1.) To reduce within-group error variance and 2.) Elimination of confounds

Add a comment
Know the answer?
Add Answer to:
What are the two main reasons for including covariates in ANOVA? a. 1.) To increase within-group...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • 46) The between-group variance and the within-group variance are sometimes referred to as A) main effects...

    46) The between-group variance and the within-group variance are sometimes referred to as A) main effects 9 an ANOVA summary table. 46) B) interaction effects. D) mean squares. 47) A researcher is comparing 4 groups to test if they have the same means. There are 64 data values altogether. The degrees of freedom for the Between (dfB) and the degrees of freedom for the Within (dfW) are 47) B) dfB 3, dfW-60 D) dfB 3, dfW-63 4, dfW= 63 A)...

  • 1. Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more...

    1. Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs that are categorical. True or False 2. Factorial analysis of variance (factorial ANCOVA) examines group differences in a single quantitative dependent variable based upon two or more categorical independent variables, while controlling for a covariate that may influence the DV. True or False 3. One-way multivariate analysis of variance (MANOVA) is utilized to simultaneously study two or more related IVs, while controlling for...

  • Please help with the following multiple choice 1. In the one-way ANOVA where there are k...

    Please help with the following multiple choice 1. In the one-way ANOVA where there are k treatments and n observations, the degrees of freedom for the F-statistic are equal to, respectively: a. n and k. b. k and n. c. n − k and k − 1. d. k − 1 and n − k. 2. In ANOVA, the F-test is the ratio of two sample variances. In the one-way ANOVA (completely randomized design), the variance used as a numerator...

  • QUESTION 44 In a two way ANOVA, how many effects (main effects and interaction) are tested?...

    QUESTION 44 In a two way ANOVA, how many effects (main effects and interaction) are tested? a. 4 b. 1 c. 3 d. 2 2 points    QUESTION 45 Main effects are defined as the effect of ______. a. one independent variable on the dependent variable that changes at the different levels of another independent variable b. the dependent variable on the independent variable within a factorial research design c. an independent variable on the dependent variable within a factorial...

  • 1. When running an ANOVA test, you observe large differences in means between groups. Within the...

    1. When running an ANOVA test, you observe large differences in means between groups. Within the ANOVA framework, this would most likely be interpreted as: A. Evidence strongly favoring the alternative hypothesis. B. Evidence strongly favoring the null hypothesis. C. Evidence revealing which group mean is different from the others. D. None of the above.

  • Part A:For a three-way factorial ANOVA, how many interactions will be included in the ANOVA table?...

    Part A:For a three-way factorial ANOVA, how many interactions will be included in the ANOVA table? A. 6 B. 5 C. 7 D. 4 E. 3 Part B: In ANOVA, the interaction of two variables is certainly present when A. the difference between means across levels of one variable varies across levels of the other variable. B. the two variables are negatively correlated. C. the two variables are positively correlated. D. the main effects do not account for all of...

  • Analysis of variance compares the means of a response variable for several groups. ANOVA compares the...

    Analysis of variance compares the means of a response variable for several groups. ANOVA compares the variation within each group to the variation of the mean of each group. The ratio of these two is the F statistic from an F distribution with (number of groups - 1) as the numerator degrees of freedom and (number of observations - number of groups) as the denominator degrees of freedom. You intend to conduct an ANOVA with 4 groups in which each...

  • Analysis of variance compares the means of a response variable for several groups. ANOVA compares the...

    Analysis of variance compares the means of a response variable for several groups. ANOVA compares the variation within each group to the variation of the mean of each group. The ratio of these two is the F statistic from an F distribution with (number of groups - 1) as the numerator degrees of freedom and (number of observations - number of groups) as the denominator degrees of freedom. You intend to conduct an ANOVA with 4 groups in which each...

  • Analysis of variance compares the means of a response variable for several groups. ANOVA compares the...

    Analysis of variance compares the means of a response variable for several groups. ANOVA compares the variation within each group to the variation of the mean of each group. The ratio of these two is the F statistic from an F distribution with (number of groups - 1) as the numerator degrees of freedom and (number of observations - number of groups) as the denominator degrees of freedom. You intend to conduct an ANOVA with 4 groups in which each...

  • 1. An analysis of variance with one dependent and one independent variable is referred to as:...

    1. An analysis of variance with one dependent and one independent variable is referred to as: A) one-way ANOVA B) two-way ANOVA C) many-way ANOVA D) correlation 3.        What is the null hypothesis when using ANOVA? A) B) C)   D)    4.         What is the research hypothesis when using ANOVA procedures? A)        all of the group means are equal B)        all of the group means are significantly different from all other group means C)        at least one of the group means is significantly different from...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT