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A marketing analyst for a major shoe manufacturer is considering the development of a new brand of running shoes. The marketing analyst wants to determine which variables can be used in predicting durability [or effect of long-term impact]. Two independent variables are to be considered, X1 (FOREIMP). a measurement of the forefoot shock-absorbing capability, and X2 (MIDSOLE), a measurement of the change in impact properties over time, along with the dependent variable Y (LTIMP), which is a measure of the long-term ability to absorb shock after a repeated impact test. A random sample of 20 types of currently manufactured running shoes was selected for testing. Fill in the missing values and answer questions a and b. {20 points) ANOVA df 55 MS F Regression 8.6 1 Error 0.084 Total 1. Complete the ANOVA table and compute the value of R-square. 2. At the 0.01 level of significance, What conclusion can you make about the statistical significance of the overall model? Show all necessary steps for ANOVA method