SCM homework.

YOU MUST SHOW WORK TO GET CREDIT.

1. Fill in the following chart for the correlation coefficient. No credit will be given unless the entire chart is filled in.

Name	Symbol	What it Tells Us	Abs. or Rel.? (give units if absolute)	Boundaries	What Extremes Signify
Population Correlation Coefficient
Sample Correlation Coefficient	r	Strength + direction in sample	None Relative measure	-1 +1	Perfect rel.

2. Fill in the following chart for the coefficient of determination. No credit will be given unless the entire chart is filled in.

Name	Symbol	What it Tells Us	Abs. or Rel.? (give units if absolute)	Boundaries	What Extremes Signify
Population Coefficient of Determination
Sample Coefficient of Determination

3. Fill in the following chart for the standard error of the estimate. No credit will be given unless the entire chart is filled in.

Name	Symbol	What it Measures	Abs. or Rel.? (give units if absolute)	Boundaries	What Extremes Signify
Standard Error of the Estimate

4. Fill in the following chart for the regression coefficients. No credit will be given unless the entire chart is filled in.

Name	Symbol	What it Tells Us	Abs. or Rel.? (give units if absolute)	Boundaries
Population Intercept
Sample Intercept
Population Slope
Sample Slope

5. The standard deviation of advertising = $18.25. The standard deviation of sales = $2.57. The correlation is .79. If we are predicting advertising from sales, compute the regression coefficient. Using the phrase given in class (On average, …) and following the pattern given in class, interpret this slope. You must use the phrase on average and follow the pattern given in class to get any credit.

6. List what we are concluding if we accept the null in a regression problem (p. 179 in the course packet). Then list what we are concluding if we reject the null in a regression problem. You must list all the statements presented in the entire slide (four for the null and five for the alternative) in class in order to get credit.

7. Write a scenario for a simple regression problem. You must include what the two variables are, stating which one is x and which one is y. Remember, y must be quantitative. Do not use the scenarios that are included in the course packet. If you base your idea off of another source, you must state the source.