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Julian Jordan STAT 4210 Assignment 3 1.) #1 State Hypothesis H 0 : μ = 98.6 H A : μ≠ 98.6 #2 Check Conditions: Random Constant Variance Linear #3 & 4 Test Statistics and P-Value: Test Statistic: -5.45 P-Value : 0.0001 #5 Conclude: With a small p-value of <0.0001, we reject the null hypothesis and conclude that there is sufficient evidence to reject the null hypothesis.
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Julian Jordan STAT 4210 Assignment 3 2a.)
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Julian Jordan STAT 4210 Assignment 3 2b.) ŷ = 96.307 + 0.026x 1 2c.) RMSE = 0.712, R 2 = 0.064 2d.) The slope for this model can be interpreted as follows: If the heart rate for an individual were to be 0, then the predicted body temperature of that individual would be approximately 96 degrees. This is an unrealistic interpretation. 3.) 3a.) ŷ = 96.251 + 0.0252x 1 + 0.269x 2 3b.) The R 2 value of 0.098 means that 9.8 percent of the variability in body temperature is explained by the model. The Root Mean Square Error value of 0.702 means that there is a high rate of error between the actual body temperatures of the individuals and the predicted body temperature made by the model.
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