Engineers are developing a new ultrasonic cleaner. The engineers use a screening design to determine which potential factors affect the output power for the cleaner. The factors and responses are as follow Train The time duration for the amplitude modulation: 0.10 or 1 (factor) Degas Time off for bubble release: 0.10 or 1 (factor) Burst Time for high energy bursts: 1 or 10 (factor). Quiet Ultrasonic off time: 1 or 10 (factor). Center Center frequency: 0 or 10 (factor) Bandwidth Bandwidth time: 0 or 10 (factor) Sweep Sweep time: 0 or 10 (factor) Power Output power of the cleaner (response). We generate the following run pattern: CI C4 CS C10 StdOrder Runorder PType Blocks Train Degas Bunt Quiet Center Bandwidth Sweep Power 12 0.10 0.10 100 100 10 6. 2. 1.00 0.10 10 10.0 10 661.9 0.10 10 100 10 10 6217 4 0.55 0.10 10 1.0 7224 17 0.55 ass 55 55 6036 12 10 010 1.0 55 10 10 543.1 2. 1.00 1.00 10.0 10 1.00 055 100 10 10 706.1 15 11 1.00 a10 10.0 10.0 10 6716 10 11 10 1.00 1,00 1.0 1.0 10 752.5 11 14 11 0,10 0.10 100 1.0 10 5672 0.10 1.00 55 100 S753 611.1 12 12 13 13 13 1.00 1.00 10 100 10 14 14 12. 0.55 1.00 100 10.0 10 10 10 645.0 15 10 15 0.10 1.00 100 1.0 6784 16 16 16 1. 0.10 1.00 1.0 10 10 10 627.1 17 17 2. 1.00 0.10 10 10 10 709 What type of design appears to have been run? o 1/4 fractional factorial A full factorial design 1/2 fractional factorial 1/16th fractional factorial with a replicate of all runs 1/8th fractional factorial design with a center point Randomized complete block design
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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