A regression and correlation analysis resulted in the following information regarding adependent variable (y) and an independent variable (x):Σα; = 90Σyi = 170n = 10Σ (Yi - y) (x₁ - x) = 466Σ (x; − x)² = 234Σ (yi − y)² = 1434ESS 505.98What is the OLS estimate of the intercept (B)?Enter your answer rounded to three decimal places.=

The OLS estimate of the intercept is obtained below as follows:

Answered: A regression and correlation analysis…

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=-0.773 b=24.3 r2=0.5776 r=-0.76 Use this to predict the number of situps a person who watches 10 hours of TV can do (to one decimal place)
Interpret the intercept and the coefficients of D1 and D2 in the regression above.
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%3ax+b a=-1.219 b=29.882 r2=0.727609 r=-0.853 Use this to predict the number of situps a person who watches 11 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=-0.971 b=21.794 r²-0.872356 r=-0.934 Use this to predict the number of situps a person who watches 5 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=-0.794 b=31.311 r²=0.9801 r=-0.99 Use this to predict the number of situps a person who watches 8 hours of TV can do (to one decimal place)
Discuss the two types of variation=systematic variation and unsystematic variation. try to interpret an obtained t value (example t=3.15). lastly indicate the terms of what these two variations measure.
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=-1.324 b=23.586 r2=0.887364 r=-0.942 Use this to predict the number of situps a person who watches 11.5 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 = a x + b a = -1.043 b = 29.088 %3D %3! r2 = 0.390625 r = -0.625 Use this to predict the number of situps a person who watches 6.5 hours of TV can do. situps : %3D [one decimal accuracy1
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=a+bx b=-1.127 a=25.258 r2=0.695556 r=-0.834 Use this to predict the number of situps a person who watches 8 hours of TV can do. Round to one decimal place.

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