- Based On This Given Data Description Results Of An Hvac Experiment With 5 Predictor Variables And 3 Responses In 18 R 1 (39.69 KiB) Viewed 27 times
predictor variables and 3 responses in 18
runs. Predictors: process air flux (m^3/h),
wheel speed (r/h), regeneration temperature (C), relative humidity
of fresh air, and dry bulb temperature of fresh
air. Response Variables: Moisture Removal of
dessicant wheel, thermal coeeficient of performance, power
coefficient of performance. Variable names: run_id airflux wheelspd
regtemp humid drybulb moistrem thermalp)
Step 1: form research questions
Step 2: use statistical software (SPSS) to analyze the
data and generate the outputs that can be used to answer your
research questions.
Step 3:complete 5 types of problems: chi-square,
independent-samples t-test, paired-samples, ANOVA, and Regression.
(All except t-tests have to have a small p-value)
Step 4: Draw conclusions
- Please include the type of variables
used and their meaning, the research question you have for each
procedure you used. Please include all-important parts of the
procedure used and include outputs.
A J A B C D E F G Н. I 1 run_id airflux wheelspd regtemp humid drybulb moistrem thermalp powerp 2 1 500 6 100 0.6 30 1.981 0.645 4.692 3 2 500 8 110 0.7 34 3.681 1.002 9.911 4 3 500 10 120 0.8 38 6.829 1.435 11.745 5 4 600 6 110 0.8 38 5.268 1.645 9.15 6 5 600 8 120 0.6 30 2.521 0.504 5.565 7 6 600 10 100 0.7 34 1.284 1.12 9.067 8 7 700 8 120 0.7 38 3.503 1.246 7.551 9 8 700 10 100 0.8 30 1.256 0.948 4.748 10 9 700 6 110 0.6 34 2.208 0.859 5.713 11 10 500 10 110 0.7 30 1.746 0.68 7.067 12 11 500 6 120 0.8 34 4.825 1.057 8.789 13 12 500 8 100 0.6 38 2.409 1.309 9.474 14 13 600 8 100 0.8 34 2.671 1.324 7.383 15 14 600 10 110 0.6 38 3.423 1.164 7.607 16 15 600 6 120 0.7 30 3.366 0.611 6.171 17 16 700 10 120 0.6 34 2.385 0.711 5.644 18 17 700 6 100 0.7 38 2.179 1.54 6.945 19 18 700 8 110 0.8 30 2.724 0.787 5.458 20