Problem 1.

Use the columns labeled Y ₁ & X ₁

1. Create scatterplot including the trend line, R ² and the regression equation.
2. Compute the regression and create the diagnostic plots discussed in chapter 8.
3. Interpret the regression and scatterplot.

Problem 2.

Use the columns labeled Y ₂ X ₂

1. Create the scatterplot, trend line, R ² and the regression equation.
2. Compute the Pearson correlation + p-value.
3. Calculate the regression statistics.
4. Create diagnostic plots of residuals vs. calculated values.
5. Interpret this regression.

Problem 3.

Use columns Y ₃ , X ₃₁ , X ₃₂

1. Create a correlation matrix (no Spearman rank correlation) plus a scatterplot matrix of the variables.
2. Compute the regression.
3. What is significant in this regression? Compare significance of t-ratios with scatterplot matrix.
4. Do a scatterplot of residuals vs. the predicted values of Y ₃ .
5. Are the assumptions OK or violated? Defend your answer.

Problem 4.

Use columns Y ₄ & X ₄ .

1. Create the scatterplot with trend line, R ² and equation.
2. Create a line diagram for both variables.
3. Anything look funny?
4. Do the regression.
5. Create a scatterplot of the residuals vs. the computed values of Y.
6. Discuss the assumptions.

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