what is the estimated regression equation.? The following sample data contains the number of years of college and the current annual salary for a random sample of heavy equipment salespeople. A researcher believes that spending more years in collegeleads to higher annual income. (80 points)Annual IncomeYears in College(In Thousands)31.2235.9239.054.6443.7328.157.7446.862.44.60.84SUMMARY OUTPUTRegression StatisticsMultiple RR SquareAdjusted R Square0.9590.9190.909Standard Error3.756Observations10.000 SUMMARY OUTPUTRegression StatisticsMultiple RR Square0.9590.919Adjusted R Square0.909Standard Error3.756Observations10.000ANOVAdfSSMSFSignificance FRegression1.0001,285.2451,285.24591.1050.000Residual8.000112.85814.107Total9.0001,398.103Coefficients itandard Erroi7.995t StatP-valueLower 95% Upper 95% Lower 95.0% Upper 95.0%(1.591)Intercept4.1571.9230.09117.581(1.591)17.581Years in College12.6751.3289.5450.0009.61315.7379.61315.737

Given that ; Summary output is given here. From summary table Correlation coefficient (r) = 0.959…

Answered: o nigher Annual Income (In Thousands)…

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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You may need to use the appropriate technology to answer this question. A regression analysis involving 45 observations relating a dependent variable and two independent variables resulted in the following information. ý = 0.406 + 1.3385X, + 2X2 The SSE for the above model is 43. When two other independent variables were added to the model, the following information was provided. ý = 1.9 – 3X + 12X2 + 4Xg + 8x, This model's SSE is 36. At a 0.05 level of significance, test to determine if the two added independent variables contribute significantly to the model. State the relevant null and alternative hypotheses. O Ho: One or more of the parameters is not equal to zero. H₂: B₁ = B₂= B3 =B4 = 0 O Ho: One or more of the parameters is not equal to zero. H₂: B3 =B4 = 0 O Ho: B3 = P4 = 0 H₂: None of the parameters are equal to zero. ⒸH₁: B3 =B₁ = 0 H: One or more of the parameters is not equal to zero. O Ho: B₁ = P₂ = B3 =B4 = 0 H: One or more of the parameters is not equal to zero. ✔ Find…
A statistical program is recommended. The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Weekly Television Gross Newspaper Advertising Advertising ($1,000s) ($1,000s) Revenue ($1,000s) 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 1 (a) Develop an estimated regression equation with the amount of television advertising as the independent variable. (Round your numerical values to two decimal places. Let x₁ represent the amount of television advertising in $1,000s and y represent the weekly gross revenue in $1,000s.) y = 88.64 + 1.60x1 X (b) Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables. (Round your numerical values to two decimal places. Let x₁ represent the amount of television advertising in $1,000s, x₂ represent the amount of…
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o nigher Annual Income (In Thousands) Years in College 31.2 2 35.9 39.0 2 54.6 4 43.7 3 28.1 2 57.7 4 46.8 3 62.4 4 60.8 SUMMARY OUTPUT Regression Statistics Multiple R 0.959 R Square 0.919 0.909 Adjusted R Square Standard Error 3.756 Observations 10.000