QMS442 W20 SPSS Project
统计 SPSS代写 2- Boreal mixedwood forests have been commercially logged for conifers,transected by roads and seismic cutlines, and regionally fragmented
2- Boreal mixedwood forests have been commercially logged for conifers, 统计 SPSS代写
transected by roads and seismic cutlines, and regionally fragmented by agricultural practices. Most recently, Alberta’s public mixedwood forests have been allocated for harvest of trembling aspen for pulp, paper, and oriented strand board products. With relevance to commercial forestry, this report describes the structure and biodiversity of aspen dominated mixedwood forests of fire-origin. The boreal mixedwood forest in Canada extends from south-western Manitoba through the central and northern parts of the Prairie Provinces, and into north-eastern British Columbia. 统计 SPSS代写
Suppose the attached data are collected from boreal mixedwood forests in northern Saskatchewan.
Use the data to fit a linear regression model to predict Age using the rest of the variables. 统计 SPSS代写
Use the data in the attached file and answer the following questions. [Sources: http://www.borealcentre.ca./reports/stelfox/asphen.pdf http://dsp-psd.pwgsc.gc.ca/Collection/Fo46-12-363E.pdf]
a.Fit linear regression models considering each independent variable separately and test for their significance.
b.Build a model taking into account all three independent variables and their interactions. Use the overall F test to determine whether the model contributes significant information for the prediction of y. Use a=0.05. 统计 SPSS代写
c.Carry out three separate tests with a significance level of 0.05 to decide if x1, x2, and x3are significant.
d.Now fit a model with only x1, x2, and x1x2, (interaction effect) to predict age. How does this model perform compare to the one in (part b)?
e.How would you interpret the regression parameters b1, b2, b3with reference to the model in (part d)? 统计 SPSS代写
f.Does the effect of the quadratic term on predicting age in (part d) appear to be useful? Use a=0.05. How well does the model fit? Use any relevant statistic and diagnostic tools to answer this question.
g.What do the residual plots tell you about the validity of the regression assumptions in (part d)?
h.Based on the model in (part d), which of the predictors make the most significant contribution in predicting the dependent variable y? Justify your answer. 统计 SPSS代写
i.Is there any significant interaction effect of the independent variables on age in the model considered in (part d)?
j.Suppose you suspect that independent variable x2affects the response y, but the relationship is curvilinear. Add the quadratic term that is x22 in the model described in (part d). Use p-value approach to test the effect of the quadratic term on predicting age.
k.Which model would you prefer for prediction of age among the above three models considered? Use the best model to obtain a point prediction of age that has DBH =8, Canopy Height= 15, and Stem Density= 4900. Also obtain a 95% confidence interval for the prediction. 统计 SPSS代写
l.Suppose we wish to investigate the value of regressor variable x3 given that the regressors x1and x2, and their interactions (x1x2) are in the model. Perform the appropriate test of hypothesis to determine whether the reduced model is adequate. Use a=0.05.
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