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An article in Optical Engineering, "Operating curve extraction of a correlator's filter" (2004, Vol. 43, pp. 2775-2779) reported on use of an optical correlator to perform an experiment by varying brightness and contrast. The resulting modulation is characterized by the useful range of gray levels. The data are shown below: Brightness (%): 54 61 65 100 100 100 50 57 54 Contrast (%): 56 80 70 50 65 80 25 35 26 Useful range (ng): 96 50 50 112 96 80 155 144 255 (a) Test for significance of regression using a = 0.025. What is the P-value for this test? The regression model significant at a = 0.025. Choose the maximum possible lower estimate and the minimum possible upper estimate: < P-value < (b) Construct a t-test on each regression coefficient. What conclusions can you draw about the variables in this model? Use a = 0.02. There is v evidence to conclude that brightness is significant in the model at a = 0.02. There is evidence to conclude that contrast is significant in the model at a = 0.02.

An article in Optical Engineering, "Operating curve extraction of a correlator's filter" (2004, Vol. 43, pp. 2775-2779) reported on use of an optical correlator to perform an experiment by varying brightness and contrast. The resulting modulation is characterized by the useful range of gray levels. The data are shown below: Brightness (%): 54 61 65 100 100 100 50 57 54 Contrast (%): 56 80 70 50 65 80 25 35 26 Useful range (ng): 96 50 50 112 96 80 155 144 255 (a) Test for significance of regression using a = 0.025. What is the P-value for this test? The regression model significant at a = 0.025. Choose the maximum possible lower estimate and the minimum possible upper estimate: < P-value < (b) Construct a t-test on each regression coefficient. What conclusions can you draw about the variables in this model? Use a = 0.02. There is v evidence to conclude that brightness is significant in the model at a = 0.02. There is evidence to conclude that contrast is significant in the model at a = 0.02.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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An article in Optical Engineering, "Operating curve extraction of a correlator's filter" (2004, Vol. 43, pp. 2775-2779) reported on use of an optical correlator to perform an experiment by varying brightness and contrast. The resulting modulation is characterized by the useful range of gray levels. The data are shown below: Brightness (%): 54 61 65 100 100 100 50 57 54 Contrast (%): 56 80 70 50 65 80 25 35 26 Useful range (ng): 96 50 50 112 96 80 155 144 255 (a) Test for significance of regression using a = 0.025. What is the P-value for this test? The regression model v significant at a = 0.025. Choose the maximum possible lower estimate and the minimum possible upper estimate: v < P-value < (b) Construct at-test on each regression coefficient. What conclusions can you draw about the variables in this model? Use a = 0.02. There is v evidence to conclude that brightness is significant in the model at a = 0.02. There is v evidence to conclude that contrast is significant in the model at a = 0.02. Statistical Tables and Charts
Transcribed Image Text:An article in Optical Engineering, "Operating curve extraction of a correlator's filter" (2004, Vol. 43, pp. 2775-2779) reported on use of an optical correlator to perform an experiment by varying brightness and contrast. The resulting modulation is characterized by the useful range of gray levels. The data are shown below: Brightness (%): 54 61 65 100 100 100 50 57 54 Contrast (%): 56 80 70 50 65 80 25 35 26 Useful range (ng): 96 50 50 112 96 80 155 144 255 (a) Test for significance of regression using a = 0.025. What is the P-value for this test? The regression model v significant at a = 0.025. Choose the maximum possible lower estimate and the minimum possible upper estimate: v < P-value < (b) Construct at-test on each regression coefficient. What conclusions can you draw about the variables in this model? Use a = 0.02. There is v evidence to conclude that brightness is significant in the model at a = 0.02. There is v evidence to conclude that contrast is significant in the model at a = 0.02. Statistical Tables and Charts
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