detailed. 4. Results (2t:- marks) In this section. you need to present and summarize the results from your statistical analysis. In particular. the results section must: '2' Provide a descriptive analysis of the two variables (e.g.. mean, standard deviation. minimum and maximum). Which countries have the lowest and average life satisfaction scores? Which countries have the lowest and highest GDPs per capita? [2 marks). '3' Develop a scatter diagram with GDP per capita as the independent variable. What does the scatter diagram indicate about the relationship between the two variables? (3 marks). '9' Develop and estimate a regression equation that can be used to predict average life satisfaction given GDP per capita. (2 marks). '2' State the estimated regression equation and interpret the meaning of the slope coefficient (to make the interpretation easier multiply the estimated coefcient by 1o.ooo). {3 marks). '9 Is there a statistically signicant association between GDP per capita and average life satisfaction? What is your conclusion\"? (2 marks). ? Did the regression equation provide a good fit\"? Explain. [3 marks). '9 Luxembourg. Ireland. and Nonivay appear to be outliers in terms of GDP per capita. Peestimate your regression model without Luxembourg. Ireland. and Nonrvay. How does this aect the slope coefficient and goodness of fit? Explain