A second analyst looked at the same data as in Exercise 25 and concluded that the use of the SRM for prediction was fine, on average, because the fitted line clearly tracks the mean of Y as the value of X increases. What do you think of this analysis?
Answer to relevant Questions(a) If the observation marked with an “ ×” in the following plot is removed, how will the slope of the least squares line change? (b) What will happen to r2 and se? (c) Is this observation leveraged? Estimate the value of the autocorrelation Corr (εt, εt –1) if the Durbin-Watson statistic (a) D = 0.8? (b) D = 1.5? (c) D = 3? This data table contains the listed prices (in thousands of dollars) and the number of square feet for 28 homes in or near Seattle. The data come from the Web site of a realtor offering homes in the area. Use the selling ...For this exercise, you’re a real-estate developer. You’re planning a suburban housing development outside Philadelphia. The design calls for 25 homes that you expect to sell for about $450,000 each. If all goes as ...The following correlation matrix shows the pairwise correlations among three variables. The variables are the “expert” ratings assigned to wines by well-known connoisseurs (from 0 to 100), the year of the vintage (year ...
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