Please help and please show me how you worked out this regression equation if you could! thank you :) Question 9Reconsider the same output to the previous question:Model SummaryModel1Model1.852a. Predictors: (Constant), Age*Gender, Age, GenderANOVAR.926ªModel1RegressionResidualTotalR Square.857Adjusted RSquareQuestion 1018.06Sum ofSquares5450.456905.7976356.254a. Dependent Variable: Depressionb. Predictors: (Constant), Age*Gender, Age, GenderCoefficientsadfO Depression score = 6.28+.13(Age)● Depression score = -8.54 + .76(Age)O Depression score = 6.28 +.76(Age)O Depression score = -8.34 + .13(Age)37780Unstandardized CoefficientsBStd. Error-8.536.75714.817-.630Std. Error ofthe Estimate3.4301.978.0472.793.066Mean Square1816.81911.764StandardizedCoefficientsBeta(Constant)AgeGenderAge*Gendera. Dependent Variable: DepressionWhat is the regression equation which summarises the relationship between age and gender for males (which is coded with a 1)?F154.444.985.836-1.561t-4.31516.1215.304-9.522Sig..000⁰Sig..000.000.000.000Using your regression equation to the previous question, what is the predicted depression score for a male aged 35? Record your answer to two decimal places

In the given question, there is a dependent variable Depression Score (Y) which is dependent on Age,…

Answered: What is the regression equation which…

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 analysis was performed to determine if there is a relationship between hours ofTV watched per day r) and number of sit ups a person can do (y). The results of the regression were: у-ах+b a=-0.827 b=35.329 r2=0.540225 r=-0.735 Use this to predict the number of sit ups a person who watches 13.5 hours of TV can do, and please round your answer to a whole number.
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A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y). The results of the regression were: y=ax+ba=-1.114b=38.796r2=0.815409r=-0.903 Use this to predict the number of sit ups a person who watches 7 hours of TV can do, and please round your answer to a whole number.
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How does R treat those observations with missing values? In other words, what role do the observations with missing values play in the regression? No command is needed for this question. You must need to provide an answer or take a guess.
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The table shows the average weekly wages (in dollars) for state government employees and federal government employees for 8 years. The equation of the regression line is y = 1.493x - 83.403. Complete parts (a) and (b) below. A Average Weekly Wages (state), x Average Weekly Wages (federal), y 764 1003 766 1048 791 1119 (a) Find the coefficient of determination and interpret the result. r² = 0 (Round to three decimal places as needed.) 800 1152 843 1201 887 1250 924 1277 939 1306
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The regression equation between two variables X and y is Y =1.6+2.2 X Find the predicted Y value for X =13?

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What is the regression equation which summarises the relationship between age and gender for males (which is coded with a 1)? O Depression score = 6.28 +.13(Age) O Depression score= -8.54 + .76(Age) Depression score = 6.28+.76(Age) O Depression score = -8.34 + .13(Age)