Mathematics

Mathematics, 26.09.2019 04:30, yuu59

Linear regression me w both questions pls show work,

Linear regression me w both questions pls show work,

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Mathematics, 15.07.2019 15:30, jasminecoronetti44

Ascatterplot containing several values is found to have a linear regression r2 value of 0.883, a quadratic regression r2 value of 0.537, an exponential regression r2 value of 0.492, and a logarithmic regression r2 value of 0.912. which mathematical model best fits the scatterplot?

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Mathematics, 23.08.2019 04:30, Fdl52417

After taking an300, c& a decides to use excel to perform a linear regression forecast on the sales of hdtv and obtains the following summary output of the regression analysis. what conclusions can be drawn? regression statistics multiple r 0.13 r square 0.02 adjusted r square -0.18 standard error 3.18 observations 7 linear regression is a good forecast method because the correlation coefficient is 0.13. linear regression is a good forecast method because the correlation coefficient is 0.02. linear regression is a not good forecast method because the correlation coefficient is 0.13. linear regression is a not good forecast method because the correlation coefficient is -0.18. linear regression is not a good forecast method because the correlation coefficient is 0.02.

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Mathematics, 15.11.2019 20:31, crtlq

You have estimated a linear regression model relating y to x. your professor says, "i think that the relationship between y and x is nonlinear." how would you test the adequacy of your linear regression? (check all that apply ) a. compare the fit between of linear regression to the non-linear regression model. b. there is evidence in favor of a non-linear relationship if there is zero correlation between the dependent and independent variable. c. if adding a quadratic term, you could test the hypothesis that the estimated coefficient of the quadratic term is significantly different from zero. d. all of the above.

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