1. Using SAS generate a Linear Regression model for Dataset 2. 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. 3. Perform a T-test for the data provided in Dataset 3 to ascertain if the null hypothesis can be rejected. 4. Using SAS generate a multiple linear regression model for Dataset 7. 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. Please note that all submissions have to be made on canvas in the submission box provided for homework 4. The answers provided must be as detailed as possible. The submission must be in the form of a single .doc/.docx file. The calculations and graphs obtained from SAS or MS Excel can be pasted to the .docx document using Print Screen.please see the attachment for datasets
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