1. A statement of the research question
2. A description of the source of the data
3. A description of the variables used in the analysis and an explanation of why you chose these variables
4. Graphs (with clear labels) and numerical summaries to support your analysis
5. Explanations that reflect the use of Unit 2 concepts
6. An answer to the question based on your analysis of the data

In current medical practice, 98.6?F is considered a normal body temperature, but this is an average. Normal body temperatures will vary throughout the day and are sensitive to hormone levels. However, an abnormally high or an abnormally low temperature may be a sign of illness.

The research question for Option 2:

1. According to this data, what is a normal range for adult body temperature? What temperatures would you label as abnormally high or abnormally low?

1. Should there be different normal temperature benchmarks for men and women?

To answer these questions analyze the adult body temperature data inBody Temperature and Heart Rate.txt. Follow the instructions above.

Simple linear regression results for Gender=f: Dependent Variable: HeartRate Independent Variable: Temperature HeartRate = -233.62377 + 3.1280169 Temperature Sample size: 65 R (correlation coefficient) = 0.28693115 R-sq = 0.082329487 Estimate of error standard deviation: 7.8257921 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept -233.62377 129.4627 63 -1.8045644 0.0759 Slope 3.1280169 1.3157231 #0 63 2.3774128 0.0205 Analysis of variance table for regression model: Source DF SS MS F-stat P-value Model 1 346.15116 346.15116 5.6520915 0.0205 Error 63 3858.3104 61.243022 Total 64 4204.4615Simple linear regression results for Gender=m: Dependent Variable: HeartRate Independent Variable: Temperature HeartRate = -87.966581 + 1.6445282 Temperature Sample size: 65 R (correlation coefficient) = 0.19558938 R-sq = 0.038255204 Estimate of error standard deviation: 5.8072579 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept -87.966581 101.9192 63 -0.86310116 0.3914 Slope 1.6445282 1.0388569 #0 63 1.5830171 0.1184 Analysis of variance table for regression model: Source DF SS MS F-stat P-value Model 1 84.511042 84.511042 2.5059432 0.1184 Error 63 2124.6274 33.724245 Total 64 2209.1385