I need this in 12 hours
1. In your own words, describe the variables of interest. In your description, make sure to include at least one measure of central tendency and one measure of variation. Your descriptions should be substantive sentences describing your data beyond simply reporting descriptive statistics.
2. Create two APA tables: one for your chi-square test and one for your regression analysis.
3. Draw conclusions about RQ1 based on the analysis you conducted. Address the following for each
regression: a. Write the final regression model and the final fitted regression model b. Provide a substantive interpretation of the slope and main intercept of interest in the first (simple) regression model and the final regression model.
c. Is there a statistically significant relationship in the final model? Explain using two statistics from your analysis that support your claim.
d. How does the relationship change from the simple model to the final model as predictors are added?
e. Make a prediction from the final fitted model.
f. Interpret the R-square statistic in the final model.
g. How did the R-square change from the first model to the final model as additional predictors were added? What does this tell us about the models?
h. Discuss other factors that could influence the outcome.
i. Is there a clinically significant relationship between sessions attended and the change in BMI?
4. Draw conclusion about RQ2 based on the analysis you conducted. Address the following:
a. What Chi-square test is being used?
b. Interpret the results (use Frankie, et. al., as a guide).
c. Are the results statistically significant?
d. Is there reason to be concerned about disproportional drinking among married and unmarried participants in the study? Is this clinically significant?
I completed my master in Economics. In Econometric and Applied Time series Econometric, I studied different forecasting methods and apply on statistical tools like SPSS, E-views and STATA.