Determine whether differences among the treatment, block, and interactive effects are significant.
Determine whether differences among the treatment, block, and interactive effects are significant.
Exercise 1 and 7
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Read chapters 8 and 11. Focus on one-way and two-way ANOVAs in chapter 8 and, in chapter 11, on the general model of regression, use with multiple regressions, the coefficient of determination, or r2, and the use of Excel in regression analysis.
Broyles Textbook Exercise 1
1) Use Excel to complete “Exercise 1” on page 247 (Regression Analysis) in the textbook.
2) Answer the questions at the end of the exercise.
1. Use the “Regression” function in Excel and the data presented in Exercise 2 of Chapter 9 to estimate the linear relation between the number of visits and the age of the patient. Examine the results of the analysis by
DISCUSS EACH QUESTIONS AND USE EXCEL (exercise 2 chapter 9).
1. Interpreting the coefficient of determination
2. Interpreting the square root of the coefficient of determination
3. Interpreting findings presented in the ANOVA table
4. Determining whether the intercept and slope of the sample regression line are significant
In your evaluation, let α= 0.05.
EXERCISE 2 Chapter 9:
2. Suppose that we are interested in the relationship between the age of the individuals who are members of our managed-care organization and the use of physician care, as measured by visits. Suppose also that after selecting 15 members at random we obtained the following paired observations:
Visits: 3 5 4 2 1 3 6 7 4 5 10 1 2 3 8
Age 28 45 50 19 16 27 54 63 32
42 68 19 23 30 61
Use these data to find the covariance between age and the number of visits.
Broyles Textbook Exercise 7
(Analysis of Variance (ANOVA): A method of assessing the difference among three
or more means. ANOVA partitions the total variability shown by the data into
components that are attributable to different sources of variation. The ANOVA
table lists the sources of variation, the sum of squares for each, the related degrees
of freedom, the corresponding mean square or variance, and values of F. In this
text, the F ratio is used to determine whether the treatment, block, or interactive
effects are significant or attributable to chance.)
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