You are a production manager interested in the relationship between defect rate and volume at one of your
- You are a production manager interested in the relationship between defect rate and volume at one of your plants. You’ve taken a random sample of 160 shifts and recorded the percentage of defective items and the volume. Here is the plot of the two variables and the regression statistics:
- Based on the plot and regression statistics above answer the following questions:
- Is there a relationship between defect rate and volume? If so, is it positive or negative?
- Which variable is the independent variable and which is the dependent variable?
- Write out the regression equation.
- What percentage of the variability in the defect rate can be explained by differences in volume?
- What defect rate would you predict for a shift with a volume of 4000 units?
- What defect rate would you predict for a shift with a volume of 9000 units?
- Would you expect all shifts that produced 4000 items to have the same defect rate?
- What would you estimate the standard deviation of the distribution of the defect rate to e for a volume of 4000 units?
- If a particular shift produced 4000 items and had a defect rate of 10%, based on the regression model what would be the residual for the shift?
- Use the scatter plot above to answer the following:
- Does there appear to be a linear relationship between the two variables?
- Would you characterize the relationship as a positive or negative?
- From the plot, estimate the slope and the intercept.
- What’s the value for the correlation coefficient?
- Describe the points that are far from the regression line.
- Using the regression information above answer the following questions:
- Write the regression equation to predict a husband’s education from his wife’s education. What proportion of the variability in husbands’ education can be "explained" by wives’ education?
- What is the predicted value for a husband’s education if his wife’s education is 13 years?
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Solution: The downloadable solution consists of 5 pages, 542 words and 2 charts.
Deliverable: Word Document
Deliverable: Word Document
