(1) Linear Regression (a) Part (1) (i) Develop a scatter diagram to explore the relationship between the number of web pages viewed and the amount spent. (ii) Use one of the methods in the sample code file to find wo and wi, the corresponding weights for the ordinary regression line. (iii) Use one of the methods in the sample code file to find wo and wi, the corresponding weights for the lasso regression line, where you set 1=0.01. (iv) Use one of the methods in the sample code file to find wo and wi, the corresponding weights for the ridge regression line, where you set 1=0.01. (b) Part (2) (i) Use one of the methods in the sample code file to find wo, Wy and W2, the corresponding weights for the ordinary regression plane for y = Amount Spent($), x1 = Time (min) and 12 = Pages Viewed. (1) Linear Regression (a) Part (1) (i) Develop a scatter diagram to explore the relationship between the number of web pages viewed and the amount spent. (ii) Use one of the methods in the sample code file to find wo and wi, the corresponding weights for the ordinary regression line. (iii) Use one of the methods in the sample code file to find wo and wi, the corresponding weights for the lasso regression line, where you set 1=0.01. (iv) Use one of the methods in the sample code file to find wo and wi, the corresponding weights for the ridge regression line, where you set 1=0.01. (b) Part (2) (i) Use one of the methods in the sample code file to find wo, Wy and W2, the corresponding weights for the ordinary regression plane for y = Amount Spent($), x1 = Time (min) and 12 = Pages Viewed