Regression methods were used to analyze the datafrom a study investigating the relationship between roadwaysurface temperature (x) and pavement deflection (y). Summaryquantities weren = 20, Σy = 12.75, Σy = 8.86, Σx; = 1478,Σx = 143,215.8, and Σ.xy; = 1083.67.(a) Calculate the least squares estimates of the slope and inter-cept. Graph the regression line. Estimate o².(b) Use the equation of the fitted line to predict what pavementdeflection would be observed when the surface temperatureis 85°F.(c) What is the mean pavement deflection when the surfacetemperature is 90°F?

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Answered: Regression methods were used to analyze…

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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Researchers at a large nutrition and weight management company are trying to build a model to predict a person’s body fat percentage from an array of variables. A variables selection method is used to build a regression model. SAS output for the final model is given in photo. Question: What percentage of the variation in percent body fat remains unexplained, even after introducing weight and abdomen circumference into the model, and then also determine the interpretation of the slope for weight?
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.271 b=39.101 ²-0.407044 r=-0.638 Assume the correlation is significant, and use this to predict the number of situps a person who watches 14 hours of TV can do (to one decimal place) Aft

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