Question

QUESTION 19 For the following software output, check each assumption/condition to run linear regression and state whether it is appropriate to use linear regression. Bivariate Fit of pluto By alpha 20 15 10 5 0 e 0.05 0.15 C 0.1 alpha Linear Fit Linear Fit pluto -0.597417 16543195*alpha Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.915999 0.911999 2.172963 6.73913 23 Analysis of Variance Sum of DF Squares Mean Square Source F Ratio 1081.28 228,9984 4.72 Prob F lt Term Intercept 4310 093209 15.13 pha 0.3782 Diagnostics Plots Residual by Pred icted Plot -6 10 pluto Predicted 15 20 25 Residual Normal Quantile Plot e Normal Quantile Please mark all assumptions/conditions that are violated (you may mark more than one). A. Has to be Linear B. There has to be no outliers C. The residuals must be normal enough D. The residuals must be independent of each other E. The residuals must have uniform variance F. It is okay to run linear regression G. It is not okay to run linear regression pluto Re pluto Residual enpis QUESTION 20 For the following software output, mark all assumptions/conditions that are violated and state whether it is appropriate or not to use linear regression Bivariate Fit of Drying Time By Amount of varnish additive 13 12 11 10 CO 6 0 6 4 Amount of vanish additive Linear Fit Linear Fit Drying Time = 10.477778-0.3833333 Amount of varnish additive Summary of Fit RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.425469 0.343393 1.304145 8.944444 9 Analysis of Variance Sum of Source DE Squares Mean Square F Ratio Model 1 8.816667 8.81667 5.1839 Error 7 11.905556 1.70079 Prob> F 8 20.722222 C. Total 0,0569 Drying Time Parameter Estimates Estimate Std Error t Ratio Prob> [t 10,477778 0.801575 -0.383333 Term Intercept 13.07 2.28

Answer 1

Q19 From this residual by predicted plot these are not evenly distributed vertically and one point is significantly different from others, hence Option B There has to be no outliers Option E The residual s must have uniform variance. Q20 Option A Has to be linear Option E The residuals must have uniform variance. we observe that S