If we assume the Sesonai Indexes calculated for (2019-2020) and the Regression Model parameters are given as follows: Regression Model Seasons SI Q1 0.654 bo=12.25 Q2 1.982 b1=-0.27 Q3 0.762 Q4 1.596 The Adjusted Forecast for Q4- 2021 is:
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.
![If we assume the Sesonai Indexes calculated for (2019-2020) and the
Regression Model parameters are given as follows:
Regression
Model
Seasons
SI
Q1
0.654
bo=12.25
Q2
1.982
b1= -0.27
Q3
0.762
Q4
1.596
The Adjusted Forecast for Q4- 2021 is:](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7f0d9269-b554-4ec4-801e-3f828bb42d74%2F87288487-84d1-4f0a-8b2c-35283ea64022%2Fxiubg3yk_processed.jpeg&w=3840&q=75)
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