STA201 Business Statistics Assignment

Assessment Tasks

1. Prepare a summary statistics table and discuss the central tendency and variations for all variables.
2. Plot the dependent variable (house price), against each independent variable using scatter plot/dot function in Excel. Comment on the strength and the nature of the relationship between the dependent and the independent variables.
3. Generate a multiple regression summary output. Using the information on regression output, state the multiple regression equation.
4. Interpret the meaning of slope coefficients of independent variables.
5. Interpret the 2 and adjusted 2 of your model.
6. Conduct a test for significance of your overall multiple regression model at the 0.05 level of significance. You must state your null and alternative hypotheses.
7. At the 0.05 level of significance, determine whether each independent variable makes a significant contribution to the regression model. Based on these results, indicate the independent variables to include in this model.
8. Construct a 95% confidence interval estimate of population slope of house prices with property size. Interpret your results.
9. Construct a 95% confidence interval estimate of population slope of house prices with distance to nearest train station. Interpret your results.

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