6. The table shows the variation of the relative thermal conductivity k of sodiumwith temperature T. Find the quadratic that fits the data in the least-squares sense,and computes the standard deviation and standard error for your estimation.T (C)k791.001900.9323570.8395240.7596900.693

This question involves finding the quadratic that fits the data of the relative thermal conductivity…

Answered: 6. The table shows the variation of the…

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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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=-0.722 b=21.301 r2=0.381924 r=-0.618 Use this to predict the number of situps a person who watches 2 hours of TV can do (to one decimal place)
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A6
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=-1.063 b=24.198 r2=0.559504 r=-0.748 Use this to predict the number of situps a person who watches 7 hours of TV can do (to one decimal place).
The number of banks in a country has been dropping steadily since 1984, and the trend in recent years has been roughly linear. The annual data for the years 1999 through 2008 can be summarized as follows, where x represents the years since 1990 and y the number of banks, in thousands. n=10 Ex-235 ²-5605 Ey-77.564 Ey²=603.80424 Exy-1810.155 a. Find an equation for the least squares line. b. Use your result from part a to predict the number of banks in the year 2020. c. If this trend continues linearly, in what year will the number of banks drop below 6200? d. Find and interpret the correlation coefficient.
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 :ŷ=a+bx a=20.874 b=-0.638 r2=0.894916 r=-0.946 Use this to predict the number of situps a person who watches 8 hours of TV can do (to one decimal place) _________
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= -0.889 b=32.071 r2=0.505521 r= -0.711 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)

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6. The table shows the variation of the relative thermal conductivity k of sodium with temperature T. Find the quadratic that fits the data in the least-squares sense, and computes the standard deviation and standard error for your estimation. T (C) k 79 1.00 190 0.932 357 0.839 524 0.759 690 0.693