A prediction equation for starting salaries (in $1,000s) and SAT scores was performedusing simple linear regression. In the regression printout shown below, what can besaid about the level of significance for the overall model?SUMMARY OUTPUTRegression StatisticsMultiple RR SquareAdjusted R Square0.9350181230.874258890.860287655Standard Error3.307295949Observations11ANOVAdfSignificance FMSRegression684.465210.938211684.465232462.575642.42144E-05Residual98.44385847Total10782.9090909Coefficients-29.14060468t Stat-3.364937.910476Stændard ErrorP-ValueLower 95%InterceptSAT0.0083242.42E-05-48.731083870.0467288668.6600809970.0654438410.008273059SAT is not a good predictor for starting salary.The significance level for SAT indicates the slope is equal to zero.The significance level for SAT indicates the slope is not equal to zero.The significance level for the intercept indicates the model is not valid.

From the given information, the p-value for SAT is 0.0000242.

A prediction equation for starting salaries (in $1,000s) and SAT scores was performed using simple linear regression. In the regression printout shown below, what can be said about the level of significance for the overall model?

A prediction equation for starting salaries (in $1,000s) and SAT scores was performed using simple linear regression. In the regression printout shown below, what can be said about the level of significance for the overall model?

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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