Psychology week five assignment

Multiple Regression Analysis Template

Part 1: Data Exploration (20 points)

Correlations between Variables

[Insert correlation matrix for timedrs, phyheal, menheal, and stress]

Outlier Analysis

· Univariate outliers: _____

· Bivariate outliers: _____

· Concerning patterns identified: _____

· Decision regarding outliers: _____

[Insert visualizations showing relationships between doctor visits and each predictor]

Part 2: Standard Multiple Regression (40 points)

Model Fit

· R = _____

· R² = _____

· Adjusted R² = _____

ANOVA Results

F(___, ___) = _____, p = _____

Coefficients and Correlations

Variable	B	SE B	t	p	Part correlation	Partial correlation
phyheal
menheal
stress

[Insert visualization supporting analysis]

Practical Significance

[Discussion of effect sizes and practical significance of findings]

Part 3: Hierarchical Regression (40 points)

Order of Entry Justification

1. First variable: _____ because _____

2. Second variable: _____ because _____

3. Third variable: _____ because _____

Results by Step

Step 1

· R² = _____

· R² change = _____

· Significance of change: p = _____

Step 2

· R² = _____

· R² change = _____

· Significance of change: p = _____

Step 3

· R² = _____

· R² change = _____

· Significance of change: p = _____

Final Model Coefficients

[Insert final model coefficients table]

Comparison with Standard Regression

[Compare these results with the standard regression findings]

APA Write-up Template

Results

Data Screening

Preliminary analyses were conducted to examine the relationships between doctor visits and three predictors: physical health symptoms, mental health symptoms, and stress levels. Data screening revealed [describe any outliers, distributions, or notable patterns]. The relationships between variables were [linear/nonlinear], and examination of bivariate scatterplots indicated [describe any notable patterns]. Correlations between all variables are presented in Table 1.

[Table 1: Correlation Matrix]

Standard Multiple Regression

A standard multiple regression was conducted to determine how well physical health symptoms, mental health symptoms, and stress predicted the number of doctor visits. The linear combination of the three predictors was significantly related to doctor visits, R² = ___, adjusted R² = , F( , ___) = ___, p = ___. The model explains approximately ___% of the variance in doctor visits.

Analysis of individual predictors revealed that [describe which predictors were significant, include B weights, partial and part correlations]. For example, [interpret one notable finding in practical terms]. Table 2 presents the coefficients and correlations for each predictor.

[Table 2: Standard Regression Results]

Hierarchical Multiple Regression

A hierarchical multiple regression was performed to examine how well [later variables] predicted doctor visits after controlling for [earlier variables]. Variables were entered in the following order: [explain order and rationale].

At Step 1, [first variable(s)] accounted for ___% of the variance in doctor visits (R² = , F( , ___) = ___, p = ___). At Step 2, [describe what was added and results]. The addition of [variables] to the model resulted in a significant increase in R² of , F change( , ___) = ___, p = ___. [Continue for Step 3 if applicable].

The final model was significant, R² = , F( , ___) = ___, p = ___. [Interpret final model and compare to standard regression results]. Table 3 presents the coefficients for each step of the model.

[Table 3: Hierarchical Regression Results]