Q2.A study was conducted to optimize the concentration temperature in relation to the amount of solids content (g/L) of orange concentrate (treatments). Due to limited number of evaporators available, the experimenter was forced to use 4 different sized evaporators. It was presumed that the size of the evaporators could be a possible source of variation (columns). As each run took 4 days time, it was decided to control the effect of the experimentation time (rows) and the experiment was conducted in a Latin Square Design. Answer the following questions: i. What will be the layout of this design ii. Write the ANOVA showing the first two columns only (i.e. SOV and degrees of freedom) iii. Consider orange concentrate as treatments and time as a blocking factor (RCBD) by ignoring evaporator effect, Write the layout of this 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.
Step by step
Solved in 4 steps
