Question

5 of 8 patients were recruited to analyze the effects of various variables in explaining Total Cholesterol (mg/dL). Some of the variables included in this study are Age in years at screening, Weight (kg). Gender, Triglyceride (mg/dL). Direct HDL-Cholesterol (mg/dL), Fasting Glucose (mgdL), and Systolic Blood Pressure (1st reading). A multiple regression was conducted to determine the extent to which Total Cholesterol (mg/dL) can be explained by these variables. Here is the output obtained when a multiple regression analysis was performed, with all of the variables entered simultaneously Model Summary m2 Coefficients Is the overall model statistically significant? CANO CB Yes Explain how you arrived at your answer to question 10 above. Clearly identify which test and what sig was used to arrive at your conclusion Accepted characters: Only numbers, decimal point markers (ie periods), or sign indicators preceding a number (e.g., 5) are allowed, except where scientific notation is needed. Values in scientific notation format should use "e" to represent times 10 to the power of (e... 3e-3 means 3 x 10-3). How many patients were in this study? Accepted characters: Only numbers, decimal point markers (ie, periods), or sign indicators preceding a number feq. 5) are allowed, except where scientific notation is needed. Values in scientific notation format should use "e" to represent times 10 to the power of (e.g., 3e-3 means 3 x 10-3). How many independent variables were included in the model?

Answer 1

10.
Yes, the model is statistically significant.

11.
Based on the ANOVA test results, the p-value of the F test statistic is 0.001
Since p-value is less than 0.05 significance level, we reject null hypothesis H0 and conclude that there is significant evidence that model is statistically significant.

12.
Number of patients used in the study = DF Total + 1 = 176 + 1 = 177

13.
Number of independent variables used in the study = df for regression = 7