The following MINITAB output is for a multiple regression. Something went wrong with the printer, so some of the numbers aremissing. Fill in the missing numbers.PredictorConstantX1X2X3S = 0.869cesCoef-0.58762SE CoefTP0.2873(a)0.0861.5102(b)4.300.005(c)0.3944-0.620.5601.82330.3867(d)0.003R-Sq 90.2%Analysis of VarianceR-Sq(adj) = 85.3%.SourceDFSSMSFPRegression341.76(e)(f)0.000Residual Error6(g)0.76Total(h)46.30(a). t=(b). s(c). B=(Round the final answer to two decimal places. Include a minus sign if necessary.)(Round the final answer to four decimal places.)(Round the final answer to four decimal places. Include a minus sign if necessary.)

To fill in the missing values: (a) The value for the constant (intercept) is 0.086. (b) The value…

Answered: The following MINITAB output is for a…

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=-0.634 b=30.709 r2=0.948676 r=-0.974 Use this to predict the number of situps a person who watches 10.5 hours of TV can do (to one decimal place)
Please please answer that
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=-1.245 b=27.707 r²-0.529984 r=-0.728 Use this to predict the number of situps a person who watches 1.5 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=-1.09 b=30.988 r2=0.458329 r=-0.677 Use this to predict the number of situps a person who watches 10 hours of TV can do (to one decimal place)
Refer to the data set:Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 5.
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-1.223 b=22.907 r2=0.600625 r=-0.775 Use this to predict the number of sit ups a person who watches 5 hours of TV can do, and please round your answer to a whole number.
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=-0.656 b=36.681 r2-0.877969 r=-0.937 Use this to predict the number of situps a person who watches 10 hours of TV can do (to one decimal place) Question Help: Message instructh Submit Question to search
We would like to study the relationship between the number of family members in a household a and number of meals they eat together y. A regression equation based on a sample from the study is shown below. ŷ = = 1.47 – 0.08x Estimate the number of meals shared by a family with 6 members. Select one: O a. 3 O b. 0 O c. 1 O d. 2
Please only answer “d” and “e” as I already have the other parts filled out. Thank you!
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=-0.96 b=35.944 r2=0.736164 r=-0.858 Use this to predict the number of situps a person who watches 10.5 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=-0.96 b=35.944 r2=0.736164 r=-0.858 Use this to predict the number of situps a person who watches 10.5 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=-1.131 b=37.124 r2=0.398161 r=-0.631 Use this to predict the number of situps a person who watches 6.5 hours of TV can do (to one decimal place)

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