Consider the following data for a dependent variable y and two independent variables, x1 and x2. 30 12 94 47 10 109 25 18 112 51 16 178 40 94 51 19 175 75 8 171 36 12 118 59 13 143 77 17 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to ¤1. ŷ = Predict y if #1 - 35. ŷ = b. Develop an estimated regression equation relating y to x2. ŷ = + Predict y if x2 = 25. ŷ = c. Develop an estimated regression equation relating y to #1 and *2. ŷ = 1 + X2 Predict y if æ1 = 35 and x2 = 25.
Consider the following data for a dependent variable y and two independent variables, x1 and x2. 30 12 94 47 10 109 25 18 112 51 16 178 40 94 51 19 175 75 8 171 36 12 118 59 13 143 77 17 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to ¤1. ŷ = Predict y if #1 - 35. ŷ = b. Develop an estimated regression equation relating y to x2. ŷ = + Predict y if x2 = 25. ŷ = c. Develop an estimated regression equation relating y to #1 and *2. ŷ = 1 + X2 Predict y if æ1 = 35 and x2 = 25.
Essentials of Business Analytics (MindTap Course List)
2nd Edition
ISBN:9781305627734
Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Chapter8: Time Series Analysis And_forecasting
Section: Chapter Questions
Problem 18P: Consider the following time series:
Construct a time series plot. What type of pattern exists in...
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