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.
Please all the 3 of these sub-questions. Make sure answer is rounded up to 4 decimals
Give the equation of the regression line: -913.2969+0.4808years(y) a) Plug an actual x value into the equation and discuss the difference between the real y and the predicted yb) Discuss the domain of your datac) Include the scatterplot with line of best fit
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.
A regression was run to determine if there is a relationship between hours of study per week (X) and the test scores (y ). The results of the regression were:y=ax+ba=5.931b=20.1r2=0.748225r=0.865Use this to predict the final exam score of a student who studies 3 hours per week, and please round your answer to a whole number.
Please help ))()()
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
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy). The results of the regression were: y=ax+ba=-1.392b=32.952r2=0.527076r=-0.726Use this to predict the number of situps a person who watches 2 hour(s) of TV can do, and please round your answer to a whole number.
I would like to know how to determine the y and x factors needed to compute a multiple regression program based on the data supplied with this request. The solution here on Bartleby has broken images and has no assistance. I have learned how to run the program in Excel however, I am not sure which columns are needed in the analysis. The question simply states - estimate the demand for soft drinks using a multiple regression program available on your computer. Help? Thanks!

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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)