Part III: Two-sample tests 1. Using the Heart data in the SASHELP library, compare the Systolic (systolic blood pressure) for males and females (variable Sex indicate gender where values F and M indicates gender female respectively male. Generate a histogram and box-plot to investigate the distribution of Systolic for males and females. Can we assume that these are normal distributed based the histogram? 2. Conduct the tests for normality. Do you reject the null hypothesis that the data values are normally distributed? 3. Run a two-sample t-test comparing the Systolic (systolic blood pressure) for males and females where Ho states that the difference in population means is zero (use 1 % significance level). Can we assume equal variances for men and females? Part IV: Linear Regression Analysis 1. Using the Cars dataset in the SASHELP library, run a multiple regression with MSRP as the dependent variable and the three variables Horsepower, Weight, and Length as the predictor variables. Interpret the results. Is there evidence of multicollinearity