# Exercise affect heart rate through variable exercise and caffeine

Exercise affect heart rate through variable exercise and caffeine

This is an paper that focuses on Can exercise affect heart rate through variable exercise and caffeine. The paper also focuses on assumptions of factorial ANOVA.

## Can exercise affect heart rate through variable exercise and caffeine

Step 1. Firstly, write Section 1 of the DAA. Provide context for the variables exercise, caffeine and heart rate. . Include a definition of the specified variables, including factors, levels of each factor, and the outcome variable. Define the corresponding scales of measurement for each variable. Specify the sample size of the data set.

Step 2. Secondly, write Section 2 of the DAA. Analyze the assumptions of the factorial ANOVA. Paste the SPSS histogram output for heart rate and discuss your visual interpretations. Paste SPSS descriptives output showing skewness and kurtosis values for heart rate and interpret them (i.e., values of 0 are perfectly normal; values between +/- 1 are ideal; the values +/- 2 are acceptable; values beyond +/- 2 are a potential violation). Report the results of the Levene test and interpret it. Summarize whether or not the assumptions of the factorial ANOVA are met.

### Additional steps

Step 3. Thirdly, write Section 3 of the DAA. Specify a research question related to the factorial ANOVA. Articulate the null hypothesis and alternative hypothesis for Factor A, Factor B, and the A x B interaction. Specify the alpha level.

Step 4. Then, write Section 4 of the DAA. • To provide context, begin by reporting the grand mean on Y, the means of Y for both main effects (A, B) and the means of the interaction ( A*B). You may paste SPSS output of these descriptive statistics, but you should also report them in the narrative. • Next, paste SPSS output of the A*B cell means plot on Y. Designate Factor A on the horizontal axis and separate lines for Factor B. Provide a visual interpretation of this graph in terms of possible main effects and an interaction.

• Then paste the SPSS output for the factorial ANOVA. Report the results for both main effects and the interaction, including F, degrees of freedom, the F value, the p value, a calculation of effect size, and interpretation of the effect size (calculate and report simple eta squared; do not use partial eta squared from SPSS output). • For each factor and the interaction, also report SPSS calculations of observed power and interpret them in terms of Type II error. • Finally, for each factor and the interaction, interpret the results against the null hypotheses articulated in Section 3.

Step 5. Lastly, write Section 5 of the DAA. Discuss the conclusions of the factorial ANOVA as it relates to the research question. Then, conclude with an analysis of the strengths and limitations of one-way ANOVA

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