1. Describe the variables used in each of the five hypotheses.
   • Describe the variables used in the hypotheses in words (i.e., variable level, IV/DV).
   • Describe demographic information for FOUR variables. Describe the variables numerically (i.e., number and percent for nominal/ordinal level variables and a measure of central tendency and a measure of variability for interval/ratio level variables).
2. State whether your results support or fail to support your research/alternative hypothesis
   • Test each hypothesis using the appropriate statistical procedure in Jamovi. For each hypothesis, Explain in a paragraph that states the statistics you ran and why.
   • Write the results of what you found in paragraph style and provide relevant output at the end of the report.
3. Show a report that combines what you completed and found

Explain in a paragraph explaining the regression/multiple regression model used in your assignment. Include the following in your response

• The independent/predictor variable and dependent/outcome variable
• If the regression/multiple regression was significant and how you determined this
• An explanation of the regression equation

#1 One-Way ANOVA

One-Way ANOVA (Welch's)
	F	df1	df2	p
BloodSugarPreDiagnosis	4.53	2	66.5	0.014

Post Hoc Tests

Tukey Post-Hoc Test - BloodSugarPreDiagnosis
		Borderline High	Desirable	High
Borderline High	Mean difference		3.23	-2.11
	p-value		0.162	0.572
Desirable	Mean difference			-5.34
	p-value			0.014
High	Mean difference
	p-value

#2 Repeated Measures ANOVA

Within Subjects Effects
	Sum of Squares	df	Mean Square	F	p
RM Factor 1	1.15e+6	2	573626	939	<.001
Residual	157661	258	611
Note.Type 3 Sums of Squares

Between Subjects Effects
	Sum of Squares	df	Mean Square	F	p
Residual	84643	129	656	-	-
Note.Type 3 Sums of Squares

Post Hoc Tests

Post Hoc Comparisons - RM Factor 1
Comparison
RM Factor 1		RM Factor 1	Mean Difference	SE	df	t	ptukey
Level 1	-	Level 2	-120.1	3.68	129	-32.66	<.001
	-	Level 3	-10.8	2.31	129	-4.66	<.001
Level 2	-	Level 3	109.3	3.06	129	35.69	<.001

#3 Correlation Matrix

Correlation Matrix
		Resting HR-PreVisit	Resting HR-During Visit	RestingHR-PostVisit
Resting HR-PreVisit	Pearson's r
	df
	p-value
Resting HR-During Visit	Pearson's r	0.007
	df	128
	p-value	0.933
RestingHR-PostVisit	Pearson's r	0.035	-0.081
	df	128	128
	p-value	0.695	0.357
Note.* p < .05, ** p < .01, *** p < .001

Scatterplot