(a) Compute the sum of squares between treatments. (b) Compute the mean square between treatments. (c) Compute the sum of squares due to error. (d) Compute the mean square due to error. (Round your answer to two decimal
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.
![Treatment
B
162
143
125
142
155
121
165
125
137
144
141
141
148
136
151
175
152
129
Sample
156
142
134
mean
Sample
variance
176.4
119.2
124.4
(a) Compute the sum of squares between treatments.
(b) Compute the mean square between treatments.
(c) Compute the sum of squares due to error.
(d) Compute the mean square due to error. (Round your answer to two decimal places.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb26ce2a9-9482-4468-a43b-da5967e9dd54%2F2ad6da63-0d0f-4a78-a86f-f73c3bdebde8%2Fi5ckuuv_processed.jpeg&w=3840&q=75)
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