Focusing on the simple regression

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Reference no: EM133767728

Question 1. Focusing on the simple regression, write out the conceptual null and alternative hypotheses being tested in this example.
H0:
H1:

Question 2. Explain why a regression analysis is an appropriate statistical test for this research question.

Question 3. Test the following statistical assumptions that apply for a simple regression. State how you tested each assumption and whether it was met. If you find violations, you can just note them, but you do not need to do anything to correct the data.
Normality

Outliers
Linearity
Heteroscedasticity
Normality of the residuals

Question 4. Run the simple regression and report your results using APA format. Focus on just interpreting what you found regarding the significance of the slope and interpret this slope value. Hint: Look at the "Putting it All Together" section in the JASP Guide for an example. You do not need to include the assumptions section of this write up though.
Next, use both honesty-humility and openness as predictors in a multiple regression.

Question 5. Conduct the multiple regression analysis with both honesty-humility and openness. Summarize your results by addressing the following:
a) indicate whether the assumption for multicollinearity was met.
b) Indicate if each individual predictor was significant, along with its slope.
c) Explain how much combined variance was explained by these two predictors.

Question 6. Describe what the results of your statistical tests (simple and multiple regression) mean in one to two sentences. Avoid the use of statistical jargon (e.g., significant difference, etc.).

Reference no: EM133767728

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