Following data transformation, regression analysis results in the estimation equation log ŷ = 3.15 + 0.473 log x1 +1 0.354 log x2. Trans form this equation to the equivalent multiplicative model with estimation equation ŷ = b0 x1b11x2b22. (The base of the logarithms is 10.)
Answer to relevant QuestionsFor the situation and variables in Exercise 17.7, fit an exponential model and use it to estimate the average room rate for a market in which the average occupancy rate is 70%. The underlying data are in file XR17007. In ...As the temperature increases, an experimental lubricant initially decreases in viscosity (resistance to flow), then increases, then decreases again. Of the polynomial models discussed in this section, which one would tend to ...The two largest values in a correlation matrix are the 0.850 correlation between y and x4, and the 0.790 correlation between y and x9. During a stepwise regression analysis, x4 is the first independent variable brought into ...An officer training program has 9 board members who provide ratings for the candidates. The high and low scores are dropped before the overall rating is computed. For a sample of 28 persons from the most recent class of ...The data in file XR17063 include the wind chill index (how cold it “feels”) at different combinations of outside temperature (degrees Fahrenheit) and wind speed (miles per hour). For y = wind chill index, x1 = actual ...
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