To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow. Temperature 50°C 60°C 70°C 30 33 28 20 34 33 32 37 33 35 26 35 28 30 36 a. Construct an analysis of variance table (to 2 decimals, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square F Treatments 45 2 22.5 1.14 Error 236 12 19.67 Total 281 14 b. Use a .05 level of significance to test whether the temperature level has an effect on the mean yield of the process. The p-value is greater than .10 What is your conclusion? Conclude that the mean yields for the three temperatures are all equal
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.
What am I doing wrong here? How do I have the right answer for the ones that depend on the ones marked wrong?
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 8 images
