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. We fit a model V aPb to the data below using the least squares criterion. Vi Pi 2.27 2500 2.4 1000 3.31 5491 3.27 23700 3.85 78200 3.7 14000 4.81 341948 4.9 49375 4.31 70700 4.42 304500 4.39 138000 5.88 1092759 5.62 134000 5.21 867023 5.7 2602000 Figure 2: Table of Data Points What is the value of the intercept of the log trans- formed model? Choose the correct answer. a. 0.0448 b. 0.1031 c. 0.145 d. 1.396

. We fit a model V aPb to the data below using the least squares criterion. Vi Pi 2.27 2500 2.4 1000 3.31 5491 3.27 23700 3.85 78200 3.7 14000 4.81 341948 4.9 49375 4.31 70700 4.42 304500 4.39 138000 5.88 1092759 5.62 134000 5.21 867023 5.7 2602000 Figure 2: Table of Data Points What is the value of the intercept of the log trans- formed model? Choose the correct answer. a. 0.0448 b. 0.1031 c. 0.145 d. 1.396

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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. We fit a model V = aPb to the data below using the least squares criterion. Vi Pi 2.27 2500 2.4 1000 3.31 5491 3.27 23700 3.85 78200 3.7 14000 4.81 341948 4.9 49375 4.31 70700 4.42 304500 4.39 138000 5.88 1092759 5.62 1340000 5.21 867023 5.7 2602000 Figure 2: Table of Data Points What is the value of the intercept of the log trans- formed model? Choose the correct answer. a. 0.0448 b. 0.1031 c. 0.145 d. 1.396
Transcribed Image Text:. We fit a model V = aPb to the data below using the least squares criterion. Vi Pi 2.27 2500 2.4 1000 3.31 5491 3.27 23700 3.85 78200 3.7 14000 4.81 341948 4.9 49375 4.31 70700 4.42 304500 4.39 138000 5.88 1092759 5.62 1340000 5.21 867023 5.7 2602000 Figure 2: Table of Data Points What is the value of the intercept of the log trans- formed model? Choose the correct answer. a. 0.0448 b. 0.1031 c. 0.145 d. 1.396
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