Examlex

Solved

The Complete Second-Order Model Data Points  ANOVA \text { ANOVA }

question 77

Essay

The complete second-order model E(y)=β0+β1x1+β2x2+β3x1x2+β4x12+β5x22 was fit to n=25E ( y ) = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 1 } x _ { 2 } + \beta _ { 4 } x _ { 1 } ^ { 2 } + \beta _ { 5 } x _ { 2 } ^ { 2 } \text { was fit to } n = 25 data points. The printout is shown below.  ANOVA \text { ANOVA }
df SS MSF Significance F  Regression 522812.465384562.49307756487.986.12671E39 Residual 191.5346161870.080769273 Total 2422814\begin{array}{llllll} \hline& d f & \text { SS } & M S & F & \text { Significance F } \\\hline \text { Regression } & 5 & 22812.46538 & 4562.493077 & 56487.98 & 6.12671 \mathrm{E}-39 \\\text { Residual } & 19 & 1.534616187 & 0.080769273 & & \\\text { Total } & 24 & 22814 & & & \\\hline \end{array}


 Coefficients  Standard Error t Stat  P-value  Lower 95%  Upper 95%  Intercept 0.2022743070.3776038820.5356785690.5983960640.992608560.588059946X10.579564910.1846975373.1379135780.0054168890.1929884020.966141418X20.5029839370.1309401233.8413278150.0011008550.2289230240.777044849X1X21.9761108070.02201104389.778153571.92982E261.930041152.022180464X120.0268252920.0253509941.0581554540.3032529050.0798855480.026234964X220.0129443580.0150889780.8578684460.4016574920.0186372450.044525961\begin{array}{lllllll}\hline & \text { Coefficients } & \text { Standard Error } & t \text { Stat } & \text { P-value } & \text { Lower 95\% } & \text { Upper 95\% } \\\hline \text { Intercept } & -0.202274307 & 0.377603882 & -0.535678569 & 0.598396064 & -0.99260856 & 0.588059946 \\\mathrm{X} 1 & 0.57956491 & 0.184697537 & 3.137913578 & 0.005416889 & 0.192988402 & 0.966141418 \\\mathrm{X} 2 & 0.502983937 & 0.130940123 & 3.841327815 & 0.001100855 & 0.228923024 & 0.777044849 \\\mathrm{X}1^{*} \mathrm{X} 2 & 1.976110807 & 0.022011043 & 89.77815357 & 1.92982 \mathrm{E}-26 & 1.93004115 & 2.022180464 \\\mathrm{X}1^{\wedge} 2 & -0.026825292 & 0.025350994 & -1.058155454 & 0.303252905 & -0.079885548 & 0.026234964 \\\mathrm{X}2^{\wedge} 2 & 0.012944358 & 0.015088978 & 0.857868446 & 0.401657492 & -0.018637245 & 0.044525961 \\\hline\end{array} a. Write the complete second-order model for the data.
b. Is there sufficient evidence to indicate that at least one of the parameters β1,β2,β3,β4\beta _ { 1 } , \beta _ { 2 } , \beta _ { 3 } , \beta _ { 4 } , and β5\beta _ { 5 } is nonzero?
Test using α=.05\alpha = .05 .
c. Test H0:β3=0H _ { 0 } : \beta _ { 3 } = 0 against Ha:β30H _ { \mathrm { a } } : \beta _ { 3 } \neq 0 . Use α=.01\alpha = .01 .
d. Test H0:β4=0H _ { 0 } : \beta _ { 4 } = 0 against Ha:β40H _ { \mathrm { a } } : \beta _ { 4 } \neq 0 . Use α=.01\alpha = .01 . 3 Test if Model is Useful for Predicting y


Definitions:

Underwater Landslide

A movement of rock, earth, or debris down a slope in an underwater environment, often triggered by earthquakes or other disturbances.

Tsunami

Ocean waves of exceptionally long lengths triggered by significant disturbances such as seismic activity, volcanic explosions, or submarine landslides.

Volcanic Eruption

The release of magma, gases, and ash from a volcano, which can form new landforms and impact climate.

Landslide

The movement of rock, earth, or debris down a slope due to gravity, often triggered by factors like rain, earthquakes, or human activity.

Related Questions