STAT4385 - Applied Regression Analysis and Computer Project Report Writing - Statistics Assignment Help

Assignment Task

1. Make a scatterplot of the data. Does it appear that a straight-line model will be an appropriate fit to the data.

Conclusion: From the Scatterplot, we see a possible positive linear association between sale price and appraised value, thus we conclude that a straight-linemodel will be a good fit for the data.

2.Compute the Pearson correlation r, together with a 95% confidence interval for ρ, and interpre.

Interpretation: this interpret a strong positive linear association between the appraised value and the sale price of a property.

3.Linear regression model is used to relate the appraised property value X to the sale price Y for residential properties in this neighborhood. Compute the LS estimates for the regression parameters and give an unbiased estimate for the constant variance σ2. Provide the Table of Parameter Estimates and then add the fitted LS line to the scatterplot.

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