he sales of a small grocery chain, since 1985 are as shown in the accompanying table in million BDT. Grapl he data fit a trend line employing least-squares method. Using your estimated trend line, forecast the sales fo 984 and 1991 Year Sales in Million BDT 1985 9. 1986 20 1987 16 1988 12 1989 15
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.
![The sales of a small grocery chain, since 1985 are as shown in the accompanying table in million BDT. Graph
the data fit a trend line employing least-squares method. Using your estimated trend line, forecast the sales for
1984 and 1991
Year
Sales in Million BDT
1985
9
1986
20
1987
16
1988
12
1989
15](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbf2d2ea4-d402-4bcf-9c06-1a033463bd00%2Ff0495bd6-3e1b-4e0a-aa80-141ebe0aaa9b%2Fwi137qm_processed.png&w=3840&q=75)
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