1. Using SAS generate a Linear Regression model for Dataset 2. (10 points)
  2. A particular patient suffering from diabetes has an A1C level of 7.5 and needs to spend time at the gym to bring it below 6.5 to be non-diabetic. Dataset 8 contains information on number of hours spent at the gym for workout and the reduction in A1C level. Using Excel generate a logistic regression model for the data contained in Dataset 8. (20 points)
  3. Perform a T-test for the data provided in Dataset 3 to ascertain if the null hypothesis can be rejected. (25 points)
  4. Using SAS generate a multiple linear regression model for Dataset 7. (20 points)
  5. Calculate if there is a significant difference between the experimental and control groups for the data represented in Dataset using One-Way ANOVA (in MS Excel or SAS). Assuming that the alpha value is 0.05 calculate the F value and p-value. (25 points)

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