(c) Fitted values (d) Year Figure 1: Plot of (a) residual against log-dose of dr
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(c) Fitted values (d) Year Figure 1: Plot of (a) residual against log-dose of drug (b) residual versus number of rooms (c) residual against fitted values of concentration of solutions (d) residual versus year (coded) Problem 3 (20 points): Points may not be awarded vague and very for general answers. You must be specific in your answers. (a) A pharmacologist employed linear regression model to study the relation between the concentration of a drug in plasma (y) and the log-dose of the drug (r). Figure is a residual plot from the analysis. What does the plot suggest? An economist studying the relation between household electricity consumption and number of rooms in the home (r) employed linear regression and obtained the residual plot in Figure 1 (b). hat problem appear to be present in the plot? (c) A chemist studied the concentration of solution (y) over time (a). Figure 1 (c) shows a residual plot from a regression analysis of y versus r. What does the plot suggest? (d) A marketing researcher studied annual sales of a product that had been introduced ten (10) years ago by means of regression analysis. The residual plot from the analysis is shown in Figure 1 (d). What does the plot suggest?Explanation / Answer
problem 3(a)- The residual plot which we get after analysis is as shown in fig 1(a), the plot shows a fan shaped pattern.
(b) The next graph shows heteroscedasticity i.e the variance is not constant, the points do not lie close to the zero line.
(c) The plot shows autocorrelation. since we can see a pattern in the points of the graph.
(d) The residual plot shows a complete random pattern with a few outliers, thus this a perfect graph b/w residuals and explanatory variable.
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