Of course, the Thesis documentation is absolutely rock solid, and has gotten a big boost recently with the addition of Derek Halpern to the Thesis team as well as the talents of a certain girlie . You’ll find detailed documentation for every Thesis hook and filter along with a growing list of specific how-to’s based around commonly used design elements. Again, being around for two years longer is a big advantage when it comes to things like documentation, but you definitely have to be impressed by the docs that Thesis offers.
It is worth noting that the data you’re interested in may not actually be available, and you may decide to collect it yourself. There are a number of excellent texts on quantitative methods for natural and social scientists (including statistics), which we have included at the end of this page. We highly recommend taking courses in quantitative research methods if you plan on collecting your own data. For our purposes, however, we will assume that you are interested in querying existing databases in order to find scientific and quantitative data that is relevant to your research question.
g. (2pt) Interpret the intercept for this model
h. (2pt) Provide an interpretation for the slope coefficients of the model.
B Std. Error Beta t Sig.
Repairperson -.860 .642 -.426 - .222
monthslastservice .191 .130 .467 .18
STEP 3: Use MONTHS SINCE LAST SERVICE to capture the curvature explaining REPAIRTIME
1) (2pt) From all models bellow, which you think is best?
Model Summary and Parameter Estimates
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1 b2 b3
Linear .629 1 8 .006 .325
Quadratic .709 2 7 .013 .213 -.072
Cubic .765 3 6 .026 - .405 -.029
The independent variable is monthslastservice.
The cubic model has a good fit as % so it represents a
better fit for the model
2) (10pt) Given the following estimated regression equation and SPSS output from regression, fill in the
missing values. Show your calculations.